Advanced Deep Learning with R

Advanced Deep Learning with R will help you understand popular deep learning architectures and their variants in R, along with providing real-life examples for them. (Limited-time offer)

Table of Contents

• Section 1: Revisiting Deep Learning Basics
• Revisiting Deep Learning Architecture and Techniques
• Section 2: Deep Learning for Prediction and Classification
• Deep Neural Networks for Multi-Class Classification
• Deep Neural Networks for Regression
• Section 3: Deep Learning for Computer Vision
• Image Classification and Recognition
• Image Classification Using Convolutional Neural Networks
• Applying Autoencoder Neural Networks Using Keras
• Image Classification for Small Data Using Transfer Learning
• Creating New Images Using Generative Adversarial Networks
• Section 4: Deep Learning for Natural Language Processing
• Deep Networks for Text Classification
• Text Classification Using Recurrent Neural Networks
• Text classification Using Long Short-Term Memory Network
• Text Classification Using Convolutional Recurrent Neural Networks
• Section 5: The Road Ahead
• Tips, Tricks, and the Road Ahead

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