Keras Deep Learning Cookbook
Auteur : Rajdeep Dua, Sujit Pal, Manpreet Singh Ghotra
Date de publication : 2018-10-31
Éditeur : Packt Publishing Ltd
Nombre de pages : 252
Résumé du livre
Leverage the power of deep learning and Keras to develop smarter and more efficient data models
Key Features- Understand different neural networks and their implementation using Keras
- Explore recipes for training and fine-tuning your neural network models
- Put your deep learning knowledge to practice with real-world use-cases, tips, and tricks
- Install and configure Keras in TensorFlow
- Master neural network programming using the Keras library
- Understand the different Keras layers
- Use Keras to implement simple feed-forward neural networks, CNNs and RNNs
- Work with various datasets and models used for image and text classification
- Develop text summarization and reinforcement learning models using Keras
Keras Deep Learning Cookbook is for you if you are a data scientist or machine learning expert who wants to find practical solutions to common problems encountered while training deep learning models. A basic understanding of Python and some experience in machine learning and neural networks is required for this book.