Neural Networks with Keras Cookbook
This book presents solutions to the majority of the challenges you will face while training neural networks to solve deep learning problems. It covers the trending deep learning architectures used in industry and tackles a variety of use cases in computer vision, text processing, audio analysis, recommender systems, and game bots
Offered by
Difficulty Level
Intermediate
Completion Time
18h56m
Language
English
About Book
Who Is This Book For?
This intermediate-level book targets beginners and intermediate-level machine learning practitioners and data scientists who have just started their journey with neural networks. This book is for those who are looking for resources to help them navigate through the various neural network architectures; you'll build multiple architectures, with concomitant case studies ordered by the complexity of the problem. A basic understanding of Python programming and a familiarity with basic machine learning are all you need to get started with this book.
Neural Networks with Keras Cookbook
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 18h56m total length
Building a neural network with Tensorflow and Keras
Building a deep neural network
Applications of deep feed forward neural networks
Building a deep convolutional neural networ
Transfer Learning
Object detection and localization
Applications of image analysis in self-driving car
Image generation
Encoding inputs
Text analysis using word vectors
Building a Recurrent neural Network
Applications of many to one architecture based RNN
Sequence to Sequence learning
End to end learning
Audio analysis
Reinforcement learning
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