With Deep Learning with TensorFlow – Second Edition, learn how to implement advanced techniques in deep learning with Google’s brainchild, TensorFlow. Explore deep neural networks and layers of data abstraction with the help of this comprehensive guide. (Limited-time offer)
Topics included: Getting Started with Deep Learning • A First Look at TensorFlow • Feed-Forward Neural Networks with TensorFlow • Convolutional Neural Networks • Optimizing TensorFlow Autoencoders • Recurrent Neural Networks • Heterogeneous and Distributed Computing • Advanced TensorFlow Programming • Recommendation Systems Using Factorization Machines • Reinforcement Learning
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Publisher: Packt Publishing
Published: March 2018
File size: –
Number of pages: 484
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Free as of 09/15/2019.