Catch up on the latest ML and AI developer updates from Google I/O
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Tools
Explore tools to support and accelerate TensorFlow workflows.
Colab
Colaboratory is a free Jupyter notebook environment that requires no setup and runs entirely in the cloud, allowing you to execute TensorFlow code in your browser with a single click.
Visual Blocks
A visual coding web framework to prototype ML workflows using I/O devices, models, data augmentation, and even Colab code as reusable building blocks.
TensorBoard
A suite of visualization tools to understand, debug, and optimize TensorFlow programs.
What-If Tool
A tool for code-free probing of machine learning models, useful for model understanding, debugging, and fairness. Available in TensorBoard and jupyter or colab notebooks.
ML Perf
A broad ML benchmark suite for measuring performance of ML software frameworks, ML hardware accelerators, and ML cloud platforms.
XLA
XLA (Accelerated Linear Algebra) is a domain-specific compiler for linear algebra that optimizes TensorFlow computations. The results are improvements in speed, memory usage, and portability on server and mobile platforms.
TPU Research Cloud
The TPU Research Cloud (TRC) program enables researchers to apply for access to a cluster of more than 1,000 Cloud TPUs at no charge to help them accelerate the next wave of research breakthroughs.
MLIR
A new intermediate representation and compiler framework.
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