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
Download Free PDF / Read Online
Author(s): Bharatendra Rai
Publisher: Packt Publishing
Published: December 2019
Format(s): Online
File size: –
Number of pages: 352
Download / View Link(s): This offer has ended.
Free as of 11/23/2021.
Publisher: Packt Publishing
Published: December 2019
Format(s): Online
File size: –
Number of pages: 352
Download / View Link(s): This offer has ended.
Free as of 11/23/2021.