Zefs Guide to Deep Learning Flashcards (Flashcards (PDF, Anki, PNG formats))
Minimum price
Suggested price

Zefs Guide to Deep Learning Flashcards

About the Book

Zefs Guide to Deep Learning Flashcards is a set of digital flashcards that accompany the book Zefs Guide to Deep Learning in Anki, PNG, and PDF formats.

The flashcards will help you review and study the core concepts of deep learning, the technique at the center of the current artificial intelligence revolution.

---->> Get the book + the flashcards together in the bundle and save! <<----

Who are these flashcards for?

This flashcard set, as well as the book, Zefs Guide to Deep Learning, are aimed at everyone wanting to get a better understanding of deep learning at the conceptual level. This includes:

  • Job seekers preparing for interviews to get that dream role in AI
  • Students preparing for exams
  • Technology workers wanting to expand their knowledge of the latest techniques
  • Executives and leaders needing to stay on top of the latest trends to more effectively make business decisions and have informed conversations with your technical team members.

Flashcard formats

The flashcards are in Anki , PNG, and PDF formats so that you can use them in whatever way best fits your study setup.

How to get the Anki and PNG flashcards

After you purchase this "book" the Anki and PNG formatted flashcards will be available to you via a download link in the email receipt for your purchase as well as a download link in your Leanpub Library in your Leanpub account. See the instructions here.

The Zefs Guides series

Zefs Guide to Deep Learning is the first book in the Zefs Guides series on deep learning and its applications. It forms the ground knowledge for the other books in the series:

  • Zefs Guide to Computer Vision
  • Zefs Guide to Natural Language Processing
  • Zefs Guide to Transformers

Zefs Guides are designed to help the beginner quickly get up to speed on topics in machine learning and data science and to help the experienced practitioner push their conceptual understanding even further. They are short and to the point, covering the most important topics and concepts. They're for you if you are a job seeker looking for a role in ML/AI/DS, a student studying for exams, an experienced data person dusting off your old knowledge, or an executive seeking a better understanding of some of today's most important technologies.

Learn more and get Zefs Guides merch at zefsguides.com

  • Share this book

  • Categories

    • Artificial Intelligence
    • Machine Learning
    • Digital Transformation
    • Engineering Management
    • Data Science
    • Linguistics
  • Feedback

    Email the Author(s)

About the Author

Roy Keyes
Roy Keyes

Roy Keyes has worked in data science since 2012, building and leading teams at multiple tech startups as well as consulting for clients across a wide range of industries. Prior to data science, he received a PhD in computational physics, focusing on medical applications.

You can find his website and blog at roycoding.com.

Bundles that include this book

Bought separately
Minimum price
Suggested price

Reader Testimonials

Emil Wallner
Emil Wallner

Resident at Google. Author of "No Degree ML"

The visualizations are fantastic. This book is super helpful for those who are looking to improve their understanding of deep learning.

Nick Singh
Nick Singh

Author of "Ace the Data Science Interview"

Zefs Guide provides a clear, succinct, and direct explanation of the most important topics in ML and Deep Learning. But words only go so far – it’s the visuals which illustrate the key concepts of the field where the book and flashcards truly shine!

Santi Tellez
Santi Tellez

ML Engineer NVIDIA

The flash cards are a real game changer. I've never been good reading a paragraph and remembering what I just read, but with pictures it makes it much easier.

Table of Contents

  • 1 What this is
  • 2 Card Index
  • 3 Applications of deep learning
  • 4 Hand-coded vs learned decision logic
  • 5 Classification vs Regression
  • 6 Supervised classification vs unsupervised classification
  • 7 Training supervised learning models
  • 8 Loss functions
  • 9 Training a regression model
  • 10 Learning curves and overfitting
  • 11 Bias and variance in estimates
  • 12 Bias and variance in ML models
  • 13 Model regularization
  • 14 Common machine learning models
  • 15 A simple neural network
  • 16 The binary perceptron: a binary neuron model
  • 17 The Sigmoid function
  • 18 Hyperbolic tangent
  • 19 Rectified linear unit (ReLU)
  • 20 Leaky ReLU
  • 21 Exponential linear unit (ELU)
  • 22 Gradient descent
  • 23 Backpropagation in a simple neural network
  • 24 Backpropagation to build the gradient
  • 25 Neural networks transform feature space
  • 26 Image classification
  • 27 Object detection and localization
  • 28 Image segmentation
  • 29 Image transformation
  • 30 Image generation
  • 31 Robustness to image transformations
  • 32 Hierarchical feature extraction in CNNs
  • 33 1D convolution
  • 34 2D convolution
  • 35 Convolution stride length
  • 36 Convolution padding
  • 37 Convolution pooling
  • 38 A basic convolutional neural network
  • 39 AlexNet
  • 40 ResNet and residual blocks
  • 41 The autoencoder
  • 42 U-Net
  • 43 Transposed convolutions
  • 44 YOLO
  • 45 Non-maximum supression
  • 46 Intersection over union
  • 47 Generative adversarial networks
  • 48 Dropout
  • 49 Data augmentation
  • 50 Variations of gradient descent
  • 51 Transfer learning
  • 52 Types of sequential data tasks
  • 53 Recurrent neural networks
  • 54 Backpropagation through time
  • 55 Feature embeddings
  • 56 Embeddings and tasks
  • 57 Cosine similarity
  • 58 Word embeddings and semantics
  • 59 Word2Vec training
  • 60 Gated recurrent units (GRU)
  • 61 The encoder-decoder RNN architecture
  • 62 The attention mechanism
  • 63 Attention weights
  • 64 The high-level Transformer architecture
  • 65 The self-attention mechanism
  • 66 Self-attention weights
  • 67 The Transformer (detailed architecture)
  • 68 Image captioning
  • 69 Joint embeddings of multi-modal data
  • 70 The diffusion process
  • 71 Stable diffusion
  • 72 Self-supervised learning
  • 73 Contrastive learning

The Leanpub 60 Day 100% Happiness Guarantee

Within 60 days of purchase you can get a 100% refund on any Leanpub purchase, in two clicks.

Now, this is technically risky for us, since you'll have the book or course files either way. But we're so confident in our products and services, and in our authors and readers, that we're happy to offer a full money back guarantee for everything we sell.

You can only find out how good something is by trying it, and because of our 100% money back guarantee there's literally no risk to do so!

So, there's no reason not to click the Add to Cart button, is there?

See full terms...

80% Royalties. Earn $16 on a $20 book.

We pay 80% royalties. That's not a typo: you earn $16 on a $20 sale. If we sell 5000 non-refunded copies of your book or course for $20, you'll earn $80,000.

(Yes, some authors have already earned much more than that on Leanpub.)

In fact, authors have earnedover $13 millionwriting, publishing and selling on Leanpub.

Learn more about writing on Leanpub

Free Updates. DRM Free.

If you buy a Leanpub book, you get free updates for as long as the author updates the book! Many authors use Leanpub to publish their books in-progress, while they are writing them. All readers get free updates, regardless of when they bought the book or how much they paid (including free).

Most Leanpub books are available in PDF (for computers) and EPUB (for phones, tablets and Kindle). The formats that a book includes are shown at the top right corner of this page.

Finally, Leanpub books don't have any DRM copy-protection nonsense, so you can easily read them on any supported device.

Learn more about Leanpub's ebook formats and where to read them

Write and Publish on Leanpub

You can use Leanpub to easily write, publish and sell in-progress and completed ebooks and online courses!

Leanpub is a powerful platform for serious authors, combining a simple, elegant writing and publishing workflow with a store focused on selling in-progress ebooks.

Leanpub is a magical typewriter for authors: just write in plain text, and to publish your ebook, just click a button. (Or, if you are producing your ebook your own way, you can even upload your own PDF and/or EPUB files and then publish with one click!) It really is that easy.

Learn more about writing on Leanpub