Appendix 1. Other Books You May Enjoy
If you enjoyed this book, you may be interested in these other books by Packt:
R Deep Learning Projects Yuxi (Hayden) Liu, Pablo Maldonado
ISBN: 9781788478403
- Instrument Deep Learning models with packages such as deepnet, MXNetR, Tensorflow, H2O, Keras, and text2vec
- Apply neural networks to perform handwritten digit recognition using MXNet
- Get the knack of CNN models, Neural Network API, Keras, and TensorFlow for traffic sign classification
- Implement credit card fraud detection with Autoencoders
- Master reconstructing images using variational autoencoders
- Wade through sentiment analysis from movie reviews
- Run from past to future and vice versa with bidirectional Long Short-Term Memory (LSTM) networks
- Understand the applications of Autoencoder Neural Networks in clustering and dimensionality reduction
R Deep Learning Cookbook Dr. PKS Prakash, Achyutuni Sri Krishna Rao
ISBN: 9781787121089
- Build deep learning models in different application areas using TensorFlow, H2O, and MXnet.
- Analyzing a Deep boltzmann machine
- Setting up and Analyzing Deep belief networks
- Building supervised model using various machine learning algorithms
- Set up variants of basic convolution function
- Represent data using Autoencoders.
- Explore generative models available in Deep Learning.
- Discover sequence modeling using Recurrent nets
- Learn fundamentals of Reinforcement Leaning
- Learn the steps involved in applying Deep Learning in text mining
- Explore application of deep learning in signal processing
- Utilize Transfer learning for utilizing pre-trained model
- Train a deep learning model on a GPU
