Hacker's Guide to Neural Networks in JavaScript
Hacker's Guide to Neural Networks in JavaScript
Beginners guide to understanding Machine Learning in the browser with TensorFlow.js
About the Book
A hands-on approach to understanding the basics of Machine Learning, build models and deploy real-world solutions using TensorFlow.js with JavaScript. Run your models in the browser or on the server with Node.js.
Solve real-world problems and learn about Computer Vision, Natural Language Processing, Deep Reinforcement Learning by building and training Deep Neural Networks in JavaScript.
A blend of theory, simple explanations, examples, and complete source code serve as a thorough introduction to the beginner, while the experienced professional will enjoy the practical solutions to common problems.
About the Author
Table of Contents
-
Making Predictions with a Simple Neural Network from Scratch
- Simple Neural Network for predictions
- Predicting with multiple inputs
- Predicting multiple outputs
- TensorFlow.js
- Summary
- References
-
Training a Neural Network from Scratch with Gradient Descent
- Learning is error reduction
- Learning by going up and down
- Learning with Gradient Descent
- Summary
- References
-
Training a Deep Neural Network with Backpropagation
- Generalized Gradient Descent
- Backpropagation
- Training a Deep Neural Network with Backpropagation
- Summary
- References
-
Build a simple Neural Network with TensorFlow.js
- The magic of Tensors
- Getting derivatives of a function
- Training a Deep Neural Net
- Making predictions
- Summary
- References
-
Getting Started with TensorFlow.js
- Tensors
- Visualization with tfjs-vis
- Train your first model
- Conclusion
-
Predicting Diabetes using Logistic Regression
- Diabetes data
- Logistic Regression
- Predicting diabetes
- Conclusion
- References
-
House Price Prediction using Linear Regression
- House prices data
- Linear Regression
- Data Preprocessing
- Predicting house prices
- Conclusion
- References
-
Build a simple Neural Network
- Neural Networks
- Should you buy the laptop?
- Conclusion
- References
-
Customer churn prediction using Neural Networks
- Customer churn data
- Deep Learning
- Predicting customer churn
- Conclusion
- References
-
Alien vs Predator image classification using Deep Convolutional Neural Networks
- Data
- Convolutional Neural Networks
- Classifying Aliens and Predators
- Building a Deep Convolutional Neural Network
- Conclusion
- References
-
ToDo List text classification using Embeddings and Deep Neural Networks
- ToDo app in ReactJS
- Data
- Embeddings
- Suggesting icons for ToDos
- Deployment
- Conclusion
- References
-
Burglar alarm system using Object Detection
- Using pre-trained models
- Object Detection
- Finding intruders
- Conclusion
- References
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