R Deep Learning Projects

Description

Contents......Page 3 Preface......Page 6 Handwritten Digit Recognition using Convolutional Neural Networks......Page 10 What is deep learning and why do we need it?......Page 11 Handwritten digit recognition using CNNs......Page 20 Summary......Page 56 Traffic Sign Recognition for Intelligent Vehicles......Page 58 How is deep learning applied in self-driving cars?......Page 59 Traffic sign recognition using CNN......Page 62 Dealing with a small training set – data augmentation......Page 94 Reviewing methods to prevent overfitting in CNNs......Page 100 Summary......Page 101 Fraud Detection with Autoencoders......Page 102 Getting ready......Page 105 Our first examples......Page 107 Credit card fraud detection with autoencoders......Page 120 Variational Autoencoders......Page 132 Text fraud detection......Page 141 Summary......Page 149 Text Generation using Recurrent Neural Networks......Page 150 What is so exciting about recurrent neural networks?......Page 151 RNNs from scratch in R......Page 158 RNN using Keras......Page 186 Summary......Page 195 Sentiment Analysis with Word Embeddings......Page 196 Warm-up – data exploration......Page 197 Bag of words benchmark......Page 207 Word embeddings......Page 213 Sentiment analysis from movie reviews......Page 216 Mining sentiment from Twitter......Page 236 Summary......Page 241 Index......Page 242