[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":-5,"_8":9,"_10":11},"actionData","errors","root",{"_56":-5,"_527":-5,"_528":529,"_530":531,"_532":533,"_534":535,"_536":537,"_538":539,"_540":41,"_541":542,"_543":544,"_545":546},"routes/_store+/_readers+/read_/route","routes/_store+/_readers+/read_.$slug/route",{"_16":374,"_375":376,"_377":378,"_379":41,"_380":-7},"routes/_store+/_readers+/read_.$slug.$chapterId/route",{"_12":13,"_14":15,"_16":17,"_18":-5,"_19":20,"_21":22,"_23":24},"title","Zefs Guide to Deep Learning","content","

\nAcknowledgments

This content is not available in the sample book. The book can be purchased on Leanpub at http://leanpub.com/zefsguide2dl.

","book",{"_12":13,"_36":37,"_38":39,"_40":41,"_42":43,"_44":45,"_46":15,"_47":48,"_49":50},"prevChapter","nextChapter",{"_25":26,"_12":27,"_28":-5,"_29":30,"_31":32,"_33":-5,"_34":-5,"_35":-5},"sections",[],"chapterTitle","Acknowledgments","level",2,"1 Introduction","description","path","#leanpub-auto-introduction","fileCount",1,"quizType","sectionNum","youtubeId","metaText","Zefs Guide to Deep Learning is a short, high-level guide to the most important concepts in deep learning. All in around only 150 pages!","slug","zefsguide2dl","embargo",false,"coverFeatured",{"_372":373},"tocStructure",[60,20,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164],"publicChapterContent","showReadLinkString","sample","authors",[51],{"_52":53,"_54":55,"_56":57},"id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6UHJvZHVjdEF1dGhvci81MzAxOA","name","Roy Keyes","user",{"_58":59},"username","roykeyes",{"_25":26,"_12":24,"_28":-5,"_29":371,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":369,"_28":-5,"_29":370,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":367,"_28":-5,"_29":368,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":365,"_28":-5,"_29":366,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":363,"_28":-5,"_29":364,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":26,"_12":361,"_28":-5,"_29":362,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":359,"_28":-5,"_29":360,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":357,"_28":-5,"_29":358,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":355,"_28":-5,"_29":356,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":353,"_28":-5,"_29":354,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":330,"_28":-5,"_29":352,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":328,"_28":-5,"_29":351,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":191,"_28":-5,"_29":350,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":348,"_28":-5,"_29":349,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":346,"_28":-5,"_29":347,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":344,"_28":-5,"_29":345,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":342,"_28":-5,"_29":343,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":340,"_28":-5,"_29":341,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":338,"_28":-5,"_29":339,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":336,"_28":-5,"_29":337,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":334,"_28":-5,"_29":335,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":332,"_28":-5,"_29":333,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":330,"_28":-5,"_29":331,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":328,"_28":-5,"_29":329,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":326,"_28":-5,"_29":327,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":324,"_28":-5,"_29":325,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":322,"_28":-5,"_29":323,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":320,"_28":-5,"_29":321,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":318,"_28":-5,"_29":319,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":316,"_28":-5,"_29":317,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":314,"_28":-5,"_29":315,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":312,"_28":-5,"_29":313,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":310,"_28":-5,"_29":311,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":308,"_28":-5,"_29":309,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":26,"_12":306,"_28":-5,"_29":307,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":304,"_28":-5,"_29":305,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":302,"_28":-5,"_29":303,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":300,"_28":-5,"_29":301,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":298,"_28":-5,"_29":299,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":296,"_28":-5,"_29":297,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":294,"_28":-5,"_29":295,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":292,"_28":-5,"_29":293,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":290,"_28":-5,"_29":291,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":288,"_28":-5,"_29":289,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":286,"_28":-5,"_29":287,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":284,"_28":-5,"_29":285,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":26,"_12":282,"_28":-5,"_29":283,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":280,"_28":-5,"_29":281,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":278,"_28":-5,"_29":279,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":276,"_28":-5,"_29":277,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":26,"_12":274,"_28":-5,"_29":275,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":272,"_28":-5,"_29":273,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":270,"_28":-5,"_29":271,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":268,"_28":-5,"_29":269,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":266,"_28":-5,"_29":267,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":264,"_28":-5,"_29":265,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":262,"_28":-5,"_29":263,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":260,"_28":-5,"_29":261,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":258,"_28":-5,"_29":259,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":256,"_28":-5,"_29":257,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":254,"_28":-5,"_29":255,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":252,"_28":-5,"_29":253,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":250,"_28":-5,"_29":251,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":248,"_28":-5,"_29":249,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":246,"_28":-5,"_29":247,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":244,"_28":-5,"_29":245,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":242,"_28":-5,"_29":243,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":240,"_28":-5,"_29":241,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":238,"_28":-5,"_29":239,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":236,"_28":-5,"_29":237,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":234,"_28":-5,"_29":235,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":203,"_28":-5,"_29":233,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":26,"_12":231,"_28":-5,"_29":232,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":229,"_28":-5,"_29":230,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":227,"_28":-5,"_29":228,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":225,"_28":-5,"_29":226,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":223,"_28":-5,"_29":224,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":221,"_28":-5,"_29":222,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":219,"_28":-5,"_29":220,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":217,"_28":-5,"_29":218,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":215,"_28":-5,"_29":216,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":213,"_28":-5,"_29":214,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":211,"_28":-5,"_29":212,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":209,"_28":-5,"_29":210,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":207,"_28":-5,"_29":208,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":205,"_28":-5,"_29":206,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":203,"_28":-5,"_29":204,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":26,"_12":201,"_28":-5,"_29":202,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":199,"_28":-5,"_29":200,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":197,"_28":-5,"_29":198,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":195,"_28":-5,"_29":196,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":193,"_28":-5,"_29":194,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":191,"_28":-5,"_29":192,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":189,"_28":-5,"_29":190,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":187,"_28":-5,"_29":188,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":185,"_28":-5,"_29":186,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":183,"_28":-5,"_29":184,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":181,"_28":-5,"_29":182,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":179,"_28":-5,"_29":180,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":177,"_28":-5,"_29":178,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":175,"_28":-5,"_29":176,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":173,"_28":-5,"_29":174,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":171,"_28":-5,"_29":172,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":168,"_28":-5,"_29":169,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":26,"_12":165,"_28":-5,"_29":166,"_31":32,"_33":-5,"_34":-5,"_35":-5},"Notes","#leanpub-endnotes",3,"Wrapping up","#leanpub-auto-wrapping-up",4,"Machine learning systems","#leanpub-auto-machine-learning-systems","Graphical processing units and specialized hardware","#leanpub-auto-graphical-processing-units-and-specialized-hardware","Deep learning libraries","#leanpub-auto-deep-learning-libraries","Machine learning engineering","#leanpub-auto-machine-learning-engineering","Differential calculus","#leanpub-auto-differential-calculus","Statistics and probability","#leanpub-auto-statistics-and-probability","Linear algebra","#leanpub-auto-linear-algebra","Math topics related to deep learning","#leanpub-auto-math-topics-related-to-deep-learning","Contrastive learning","#leanpub-auto-contrastive-learning","Image-based techniques","#leanpub-auto-image-based-techniques","Self-supervised learning","#leanpub-auto-self-supervised-learning-1","Diffusion models","#leanpub-auto-diffusion-models","Joint embeddings","#leanpub-auto-joint-embeddings","Image captioning","#leanpub-auto-image-captioning","Combining vision and language","#leanpub-auto-combining-vision-and-language","7 Advanced techniques and practical considerations","#leanpub-auto-advanced-techniques-and-practical-considerations","Summary and resources","#leanpub-auto-summary-and-resources-1","Applications and Transformer based architectures","#leanpub-auto-applications-and-transformer-based-architectures","Transformers","#leanpub-auto-transformers","Attention","#leanpub-auto-attention","Long short-term memory","#leanpub-auto-long-short-term-memory","Gated recurrent units","#leanpub-auto-gated-recurrent-units","Architectures for sequential tasks","#leanpub-auto-architectures-for-sequential-tasks","Embeddings","#leanpub-auto-embeddings","Creating context with embeddings","#leanpub-auto-creating-context-with-embeddings","The recurrent neural network","#leanpub-auto-the-recurrent-neural-network","Making a neural network remember","#leanpub-auto-making-a-neural-network-remember","Traditional approaches","#leanpub-auto-traditional-approaches","Types of sequential tasks","#leanpub-auto-types-of-sequential-tasks","Text, natural language, and sequential data","#leanpub-auto-text-natural-language-and-sequential-data","6 Natural language processing and sequential data techniques","#leanpub-auto-natural-language-processing-and-sequential-data-techniques","#leanpub-auto-summary-and-resources","Transfer learning","#leanpub-auto-transfer-learning","Gradient descent algorithms","#leanpub-auto-gradient-descent-algorithms","Batch normalization","#leanpub-auto-batch-normalization","Data augmentation","#leanpub-auto-data-augmentation","Regularization","#leanpub-auto-regularization-1","Common CNN techniques","#leanpub-auto-common-cnn-techniques","Image generation with GANs","#leanpub-auto-image-generation-with-gans","YOLO for object detection","#leanpub-auto-yolo-for-object-detection","U-Net for semantic segmentation","#leanpub-auto-u-net-for-semantic-segmentation","ResNet","#leanpub-auto-resnet","AlexNet","#leanpub-auto-alexnet","Some important CNN model architectures for computer vision tasks","#leanpub-auto-some-important-cnn-model-architectures-for-computer-vision-tasks","A basic CNN architecture","#leanpub-auto-a-basic-cnn-architecture","Filter size, strides, padding, and pooling","#leanpub-auto-filter-size-strides-padding-and-pooling","Convolutions","#leanpub-auto-convolutions","Convolutional neural networks","#leanpub-auto-convolutional-neural-networks","What’s hard about computer vision tasks?","#leanpub-auto-whats-hard-about-computer-vision-tasks","Traditional computer vision","#leanpub-auto-traditional-computer-vision","Computer vision tasks","#leanpub-auto-computer-vision-tasks","Computers and images","#leanpub-auto-computers-and-images","5 Computer vision and convolutional neural networks","#leanpub-auto-computer-vision-and-convolutional-neural-networks","Where are we now with deep learning?","#leanpub-auto-where-are-we-now-with-deep-learning","What made deep neural networks possible?","#leanpub-auto-what-made-deep-neural-networks-possible","Moving to deep neural networks","#leanpub-auto-moving-to-deep-neural-networks","4 The rise of deep learning","#leanpub-auto-the-rise-of-deep-learning","Resources","#leanpub-auto-resources","From basic neural networks to deep learning","#leanpub-auto-from-basic-neural-networks-to-deep-learning","What does a neural network do?","#leanpub-auto-what-does-a-neural-network-do","Output layers","#leanpub-auto-output-layers","Learning via gradient descent","#leanpub-auto-learning-via-gradient-descent","Connections, weights, and biases","#leanpub-auto-connections-weights-and-biases","Neural network layers","#leanpub-auto-neural-network-layers","Activation functions","#leanpub-auto-activation-functions","The building blocks of neural networks","#leanpub-auto-the-building-blocks-of-neural-networks","What are some tasks that neural networks can accomplish?","#leanpub-auto-what-are-some-tasks-that-neural-networks-can-accomplish","What is a neural network?","#leanpub-auto-what-is-a-neural-network","3 Neural Networks","#leanpub-auto-neural-networks","References","#leanpub-auto-references","From “traditional” ML to deep learning","#leanpub-auto-from-traditional-ml-to-deep-learning","Common machine learning models","#leanpub-auto-common-machine-learning-models","Common issues","#leanpub-auto-common-issues","Productionization","#leanpub-auto-productionization","Hyperparameters","#leanpub-auto-hyperparameters","Avoiding overfitting","#leanpub-auto-avoiding-overfitting","Generalization and overfitting","#leanpub-auto-generalization-and-overfitting","Parameter optimization","#leanpub-auto-parameter-optimization","Loss functions","#leanpub-auto-loss-functions","Unsupervised learning","#leanpub-auto-unsupervised-learning-1","Supervised learning","#leanpub-auto-supervised-learning-1","Model training","#leanpub-auto-model-training","Model selection","#leanpub-auto-model-selection","Performance baselines and success thresholds","#leanpub-auto-performance-baselines-and-success-thresholds","Measuring performance","#leanpub-auto-measuring-performance","Data sets and features","#leanpub-auto-data-sets-and-features","Formulating machine learning problems","#leanpub-auto-formulating-machine-learning-problems","Predicting real estate sales prices","#leanpub-auto-predicting-real-estate-sales-prices","An example task","#leanpub-auto-an-example-task","Reinforcement learning","#leanpub-auto-reinforcement-learning","#leanpub-auto-self-supervised-learning","#leanpub-auto-unsupervised-learning","#leanpub-auto-supervised-learning","Classification","#leanpub-auto-classification","Regression","#leanpub-auto-regression","Types of machine learning tasks and solutions","#leanpub-auto-types-of-machine-learning-tasks-and-solutions","What is machine learning?","#leanpub-auto-what-is-machine-learning","2 Machine Learning","#leanpub-auto-machine-learning","How to use this book","#leanpub-auto-how-to-use-this-book","What does this book cover and not cover?","#leanpub-auto-what-does-this-book-cover-and-not-cover","Why this book?","#leanpub-auto-why-this-book","Why deep learning?","#leanpub-auto-why-deep-learning","#leanpub-auto-acknowledgments","url","https://d2sofvawe08yqg.cloudfront.net/zefsguide2dl/s_featured?1735008324&1735008324",{"_12":13,"_38":39,"_36":37,"_40":41,"_42":511,"_512":513,"_49":514,"_47":48,"_515":-5,"_516":-5,"_517":518,"_519":518,"_520":521,"_522":523},"parts",[487],"toc",[381,382,383,384,385,386,387,388,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,407,408,409,410,411,412,413,414,415,416,417,418,419,420,421,422,423,424,425,426,427,428,429,430,431,432,433,434,435,436,437,438,439,440,441,442,443,444,445,446,447,448,449,450,451,452,453,454,455,456,457,458,459,460,461,462,463,464,465,466,467,468,469,470,471,472,473,474,475,476,477,478,479,480,481,482,483,484,485,486],"isUnavailableOnline","unavailableMessage",{"_25":26,"_12":24,"_28":-5,"_29":371,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":26,"_12":27,"_28":-5,"_29":30,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":369,"_28":-5,"_29":370,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":367,"_28":-5,"_29":368,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":365,"_28":-5,"_29":366,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":363,"_28":-5,"_29":364,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":26,"_12":361,"_28":-5,"_29":362,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":359,"_28":-5,"_29":360,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":357,"_28":-5,"_29":358,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":355,"_28":-5,"_29":356,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":353,"_28":-5,"_29":354,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":330,"_28":-5,"_29":352,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":328,"_28":-5,"_29":351,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":191,"_28":-5,"_29":350,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":348,"_28":-5,"_29":349,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":346,"_28":-5,"_29":347,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":344,"_28":-5,"_29":345,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":342,"_28":-5,"_29":343,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":340,"_28":-5,"_29":341,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":338,"_28":-5,"_29":339,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":336,"_28":-5,"_29":337,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":334,"_28":-5,"_29":335,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":332,"_28":-5,"_29":333,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":330,"_28":-5,"_29":331,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":328,"_28":-5,"_29":329,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":326,"_28":-5,"_29":327,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":324,"_28":-5,"_29":325,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":322,"_28":-5,"_29":323,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":320,"_28":-5,"_29":321,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":318,"_28":-5,"_29":319,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":316,"_28":-5,"_29":317,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":314,"_28":-5,"_29":315,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":312,"_28":-5,"_29":313,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":310,"_28":-5,"_29":311,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":308,"_28":-5,"_29":309,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":26,"_12":306,"_28":-5,"_29":307,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":304,"_28":-5,"_29":305,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":302,"_28":-5,"_29":303,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":300,"_28":-5,"_29":301,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":298,"_28":-5,"_29":299,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":296,"_28":-5,"_29":297,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":294,"_28":-5,"_29":295,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":292,"_28":-5,"_29":293,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":290,"_28":-5,"_29":291,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":288,"_28":-5,"_29":289,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":286,"_28":-5,"_29":287,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":284,"_28":-5,"_29":285,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":26,"_12":282,"_28":-5,"_29":283,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":280,"_28":-5,"_29":281,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":278,"_28":-5,"_29":279,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":276,"_28":-5,"_29":277,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":26,"_12":274,"_28":-5,"_29":275,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":272,"_28":-5,"_29":273,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":270,"_28":-5,"_29":271,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":268,"_28":-5,"_29":269,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":266,"_28":-5,"_29":267,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":264,"_28":-5,"_29":265,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":262,"_28":-5,"_29":263,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":260,"_28":-5,"_29":261,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":258,"_28":-5,"_29":259,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":256,"_28":-5,"_29":257,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":254,"_28":-5,"_29":255,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":252,"_28":-5,"_29":253,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":250,"_28":-5,"_29":251,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":248,"_28":-5,"_29":249,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":246,"_28":-5,"_29":247,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":244,"_28":-5,"_29":245,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":242,"_28":-5,"_29":243,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":240,"_28":-5,"_29":241,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":238,"_28":-5,"_29":239,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":236,"_28":-5,"_29":237,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":234,"_28":-5,"_29":235,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":203,"_28":-5,"_29":233,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":26,"_12":231,"_28":-5,"_29":232,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":229,"_28":-5,"_29":230,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":227,"_28":-5,"_29":228,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":225,"_28":-5,"_29":226,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":223,"_28":-5,"_29":224,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":221,"_28":-5,"_29":222,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":219,"_28":-5,"_29":220,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":217,"_28":-5,"_29":218,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":215,"_28":-5,"_29":216,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":213,"_28":-5,"_29":214,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":211,"_28":-5,"_29":212,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":209,"_28":-5,"_29":210,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":207,"_28":-5,"_29":208,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":205,"_28":-5,"_29":206,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":203,"_28":-5,"_29":204,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":26,"_12":201,"_28":-5,"_29":202,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":199,"_28":-5,"_29":200,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":197,"_28":-5,"_29":198,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":195,"_28":-5,"_29":196,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":193,"_28":-5,"_29":194,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":191,"_28":-5,"_29":192,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":189,"_28":-5,"_29":190,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":187,"_28":-5,"_29":188,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":185,"_28":-5,"_29":186,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":183,"_28":-5,"_29":184,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":181,"_28":-5,"_29":182,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":179,"_28":-5,"_29":180,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":177,"_28":-5,"_29":178,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":175,"_28":-5,"_29":176,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":173,"_28":-5,"_29":174,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":170,"_12":171,"_28":-5,"_29":172,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":167,"_12":168,"_28":-5,"_29":169,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_25":26,"_12":165,"_28":-5,"_29":166,"_31":32,"_33":-5,"_34":-5,"_35":-5},{"_12":13,"_28":488,"_31":489,"_490":491},"",0,"chapters",[492,493,494,495,496,497,498,499,500],{"_25":26,"_12":24,"_29":371,"_31":32,"_501":510,"_35":-5},{"_25":26,"_12":27,"_29":30,"_31":32,"_501":509,"_35":-5},{"_25":26,"_12":361,"_29":362,"_31":32,"_501":508,"_35":-5},{"_25":26,"_12":306,"_29":307,"_31":32,"_501":507,"_35":-5},{"_25":26,"_12":282,"_29":283,"_31":32,"_501":506,"_35":-5},{"_25":26,"_12":274,"_29":275,"_31":32,"_501":505,"_35":-5},{"_25":26,"_12":231,"_29":232,"_31":32,"_501":504,"_35":-5},{"_25":26,"_12":201,"_29":202,"_31":32,"_501":503,"_35":-5},{"_25":26,"_12":165,"_29":166,"_31":32,"_501":502,"_35":-5},"subsections",[],[470,471,472,473,474,475,476,477,478,479,480,481,482,483,484,485],[455,456,457,458,459,460,461,462,463,464,465,466,467,468],[433,434,435,436,437,438,439,440,441,442,443,444,445,446,447,448,449,450,451,452,453],[429,430,431],[417,418,419,420,421,422,423,424,425,426,427],[388,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,407,408,409,410,411,412,413,414,415],[383,384,385,386],[],{"_372":373},"coverFeatured2x",{"_372":526},[524],"freePdfUrl","freeEpubUrl","hasPdfSample",true,"hasEpubSample","samplePdfUrl","https://s3.amazonaws.com/samples.leanpub.com/zefsguide2dl-sample.pdf?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=0XBXHW3Q9GGV69BT7E82%2F20260821%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20260821T021955Z&X-Amz-Expires=518400&X-Amz-SignedHeaders=host&X-Amz-Signature=30e3b6a8e89430250eb520663584ff497425a173bfa35f4a02cdf98119ccf39f","sampleEpubUrl","https://s3.amazonaws.com/samples.leanpub.com/zefsguide2dl-sample.epub?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=0XBXHW3Q9GGV69BT7E82%2F20260821%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20260821T021955Z&X-Amz-Expires=518400&X-Amz-SignedHeaders=host&X-Amz-Signature=1d77485eacce6355f92f00e7326133dae91f85fb57232a5e966a03357fb3e33b",{"_52":53,"_54":55,"_56":525},{"_58":59},"https://d2sofvawe08yqg.cloudfront.net/zefsguide2dl/s_featured2x?1735008324&1735008324","shoppingCartId","shoppingCart",{"_52":559,"_560":489,"_561":518,"_562":488,"_563":564,"_565":566,"_567":518},"locale","en","readerTheme","light","constants",{"_557":558},"publishers",{"_553":554,"_555":556},"learnerOrganizations",[],"needsLocaleCookieSync","announcements",{"_547":548,"_549":-5},"sentryEnvironment","production","sentryRelease","3ca0d2062537d6274ad6ab24f3c6e910cc8fccbd","announcement_store",{"_550":41,"_551":552},"announcement_authors","flag","text","

Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

\n","companies",[],"universities",[],"paypalClientId","AX53Cwz8jR6rVVzzZiZNWWXl0dGagi-GZrjG-S3Ua14E5nrKMn7DxDQ730O4R8LusLPp49ALn6aRVaEy","no-cart","count","free","updatedAt","paymentGateway","STRIPE","cartItems",[],"loading"]