Currently, XLA supports JIT compilation on x86-64 and NVIDIA GPUs, and also supports AOT compilation for x86-64 and ARM.
Supported platforms
by Ahmed Menshawy, Md. Rezaul Karim, Giancarlo Zaccone
Deep Learning with TensorFlow
- Preface
- Getting Started with Deep Learning
- First Look at TensorFlow
- General overview
- Installing TensorFlow on Linux
- Requirements for running TensorFlow with GPU from NVIDIA
- How to install TensorFlow
- Installing TensorFlow on Windows
- Computational graphs
- Why a computational graph?
- The programming model
- Data model
- TensorBoard
- Implementing a single input neuron
- Source code for the single input neuron
- Migrating to TensorFlow 1.x
- Summary
- Using TensorFlow on a Feed-Forward Neural Network
- TensorFlow on a Convolutional Neural Network
- Optimizing TensorFlow Autoencoders
- Recurrent Neural Networks
- GPU Computing
- Advanced TensorFlow Programming
- Advanced Multimedia Programming with TensorFlow
- Reinforcement Learning
Supported platforms
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