Neural Networks with Keras Cookbook
- Paperback: 568 pages
- Publisher: WOW! eBook (February 28, 2019)
- Language: English
- ISBN-10: 1789346649
- ISBN-13: 978-1789346640
Neural Networks with Keras Cookbook: Implement neural network architectures by building them from scratch for multiple real-world applications
This Neural Networks with Keras Cookbook book will take you from the basics of neural networks to advanced implementations of architectures using a recipe-based approach.
We will learn about how neural networks work and the impact of various hyper parameters on a network’s accuracy along with leveraging neural networks for structured and unstructured data.
Later, we will learn how to classify and detect objects in images. We will also learn to use transfer learning for multiple applications, including a self-driving car using Convolutional Neural Networks.
We will generate images while leveraging GANs and also by performing image encoding. Additionally, we will perform text analysis using word vector based techniques. Later, we will use Recurrent Neural Networks and LSTM to implement chatbot and Machine Translation systems.
Finally, you will learn about transcribing images, audio, and generating captions and also use Deep Q-learning to build an agent that plays Space Invaders game.
By the end of this book, you will have developed the skills to choose and customize multiple neural network architectures for various deep learning problems you might encounter.