Probabilistic Deep Learning: With Python, Keras and TensorFlow Probability (MEAP)-P2P
About the Technology
Probabilistic deep learning models are better suited to dealing with the noise and uncertainty of real world data — a crucial factor for self-driving cars, scientific results, financial industries, and other accuracy-critical applications. By utilizing probabilistic techniques, deep learning engineers can judge how reliable their results are, and get a better understanding of how their algorithms function.

Probabilistic Deep Learning: With Python, Keras and TensorFlow Probability (MEAP)-P2P
English | 2020| ISBN: 9781617296079 | 300 Pages | True (PDF, EPUB, MOBI) + Code | 40.18 MB
NITROFLARE – RAPIDGATOR – NTi

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Probabilistic Deep Learning: With Python, Keras and TensorFlow Probability (MEAP)-P2P
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