If you enjoyed this book, you may be interested in these other books by Packt:
Hands-On Deep Learning Algorithms with Python
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ISBN: 978-1-78934-415-8
- Implement basic-to-advanced deep learning algorithms
- Master the mathematics behind deep learning algorithms
- Become familiar with gradient descent and its variants, such as AMSGrad, AdaDelta, Adam, and Nadam
- Implement recurrent networks, such as RNN, LSTM, GRU, and seq2seq models
- Understand how machines interpret images using CNN and capsule networks
- Implement different types of generative adversarial network, such as CGAN, CycleGAN, and StackGAN
- Explore various types of autoencoder, such as Sparse autoencoders, DAE, CAE, and VAE
Python Deep Learning - Second Edition
Gianmario Spacagna, Daniel Slater, Ivan Vasilev, Peter Roelants
ISBN: 978-1-78934-846-0
- Grasp the mathematical theory...
