Python Deep Learning by Valentino Zocca, Gianmario Spacagna, Daniel Slater, Peter Roelants
Requirements: .ePUB reader, 12.0 MB
Overview: This book is for Data Science practitioners as well as aspirants who have a basic foundational understanding of Machine Learning concepts and some programming experience with Python. A mathematical background with a conceptual understanding of calculus and statistics is also desired.
Genre: Non-Fiction > Tech & Devices
What You Will Learn:
– Get a practical deep dive into deep learning algorithms
– Explore deep learning further with Theano, Caffe, Keras, and TensorFlow
– Learn about two of the most powerful techniques at the core of many practical deep learning implementations: Auto-Encoders and Restricted Boltzmann Machines
– Dive into Deep Belief Nets and Deep Neural Networks
– Discover more deep learning algorithms with Dropout and Convolutional Neural Networks
– Get to know device strategies so you can use deep learning algorithms and libraries in the real world
With an increasing interest in AI around the world, deep learning has attracted a great deal of public attention. Every day, deep learning algorithms are used broadly across different industries.
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