Probabilistic Deep Learning : With Python, Keras and TensorFlow Probability
“Probabilistic Deep Learning: With Python, Keras, and TensorFlow Probability” is a comprehensive textbook authored by Beate Sick, Elvis Murina, and Oliver Dürr. Published by Manning Publications Co., this 2020 publication covers topics in neural networks, artificial intelligence, semantics, and data mining. The book, presented in trade paperback format, offers 252 pages of in-depth content in English. It is designed for those seeking a thorough understanding of probabilistic deep learning techniques with practical applications using Python, Keras, and TensorFlow Probability.
Probabilistic Deep Learning : With Python, Keras and TensorFlow Probability
“Probabilistic Deep Learning: With Python, Keras, and TensorFlow Probability” is a comprehensive textbook authored by Beate Sick, Elvis Murina, and Oliver Dürr. Published by Manning Publications Co., this 2020 publication covers topics in neural networks, artificial intelligence, semantics, and data mining. The book, presented in trade paperback format, offers 252 pages of in-depth content in English. It is designed for those seeking a thorough understanding of probabilistic deep learning techniques with practical applications using Python, Keras, and TensorFlow Probability.