Deep Learning with Theano
This book covers a complete overview of Deep Learning with Theano, a Python-based library that makes optimizing numerical expressions easy. Practical code examples address supervised, unsupervised, generative and reinforcement learning for image recognition, natural language processing, or game strategy, with best performing nets and principles.
Offered by
Difficulty Level
Intermediate
Completion Time
10h
Language
English
About Book
Who Is This Book For?
This book is indented to provide a full overview of deep learning. From the beginner in deep learning and artificial intelligence, to the data scientist who wants to become familiar with Theano and its supporting libraries, or have an extended understanding of deep neural nets. Some basic skills in Python programming and computer science will help, as well as skills in elementary algebra and calculus.
Deep Learning with Theano
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 10h total length
Theano basics
Classify handwritten digits with a feedforward network
Encode word into vector
Generate Text with a Recurrent Neural Net
Analyze Sentiment with a Bidirectional LSTM
Locate with Spatial Transformer Networks
Classify Images with Residual Networks
Translate and explain with encoding-decoding networks
Select relevant inputs or memories with the mechanism of attention
Predict Times Sequences with Advanced RNN
Learning from the Environment with Reinforcement
Learn Features with Unsupervised Generative Networks
Extending Theano - What’s next?
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