Join Raziel Alverez (Google) to learn from TensorFlow performance experts who cover topics including optimization, quantization, benchmarking, and more.
What you'll learn
- Gain a low-level overview of TensorFlow, techniques in optimization, and how and why to use benchmarks
- Title: TensorFlow model optimization: Quantization and pruning
- Release date: February 2020
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 0636920373520
You might also like
40 Algorithms Every Programmer Should Know
Learn algorithms for solving classic computer science problems with this concise guide covering everything from fundamental …
Deep Learning with Python Video Edition
"The clearest explanation of deep learning I have come across...it was a joy to read." Richard …
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. …
Designing Data-Intensive Applications
Data is at the center of many challenges in system design today. Difficult issues need to …