Hands-On GPU Computing with Python | 10. Accelerated Machine Learning on GPUs

Hands-On GPU Computing with Python is available from:

This is the “Code in Action” video for chapter 11 of Hands-On GPU Computing with Python by Avimanyu Bandyopadhyay, published by Packt. It includes the following topics:
00:11 Fashin MNIST prediction with TensorFlow
00:38 TensorFlow output on the PyCharm console
02:24 Training Fashion MNIST for 100 epochs
03:30 CIFAR-10 prediction with PyTorch
03:43 PyTorch output on a PyCharm console

GPU technologies are the paradigm shift in modern computing. This book will take you through architecting your GPU-based systems to deploying the computational models on GPUs for faster processing. You will learn to program your GPUs to build a GPU-accelerated environment for accelerating machine learning models and other data-intensive processing

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Video created by Avimanyu Bandyopadhyay