Deep Learning with Keras

Key Features

• Implement various deep learning algorithms in Keras and see how deep learning can be used in games
• See how various deep learning models and practical use-cases can be implemented using Keras
• A practical, hands-on guide with real-world examples to give you a strong foundation in Keras

Book Description

What you will learn

• Optimize step-by-step functions on a large neural network using the Backpropagation algorithm
• Fine-tune a neural network to improve the quality of results
• Use deep learning for image and audio processing
• Use Recursive Neural Tensor Networks (RNTNs) to outperform standard word embedding in special cases
• Identify problems for which Recurrent Neural Network (RNN) solutions are suitable
• Explore the process required to implement Autoencoders
• Evolve a deep neural network using reinforcement learning

Who this book is for

If you are a data scientist with experience in machine learning or an AI programmer with some exposure to neural networks, you will find this book a useful entry point to deep-learning with Keras. A knowledge of Python is required for this book.