Beginners guide to understanding Machine Learning in the browser with TensorFlow.js
About the Book
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.
Making Predictions with a Simple Neural Network from Scratch
- Simple Neural Network for predictions
- Predicting with multiple inputs
- Predicting multiple outputs
Training a Neural Network from Scratch with Gradient Descent
- Learning is error reduction
- Learning by going up and down
- Learning with Gradient Descent
Training a Deep Neural Network with Backpropagation
- Generalized Gradient Descent
- Training a Deep Neural Network with Backpropagation
Build a simple Neural Network with TensorFlow.js
- The magic of Tensors
- Getting derivatives of a function
- Training a Deep Neural Net
- Making predictions
Getting Started with TensorFlow.js
- Visualization with tfjs-vis
- Train your first model
Predicting Diabetes using Logistic Regression
- Diabetes data
- Logistic Regression
- Predicting diabetes
House Price Prediction using Linear Regression
- House prices data
- Linear Regression
- Data Preprocessing
- Predicting house prices
Build a simple Neural Network
- Neural Networks
- Should you buy the laptop?
Customer churn prediction using Neural Networks
- Customer churn data
- Deep Learning
- Predicting customer churn
Alien vs Predator image classification using Deep Convolutional Neural Networks
- Convolutional Neural Networks
- Classifying Aliens and Predators
- Building a Deep Convolutional Neural Network
ToDo List text classification using Embeddings and Deep Neural Networks
- ToDo app in ReactJS
- Suggesting icons for ToDos
Burglar alarm system using Object Detection
- Using pre-trained models
- Object Detection
- Finding intruders
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