The TensorFlow project announced the release of version 2.3.0, featuring new mechanisms for reducing input pipeline bottlenecks, Keras layers for pre-processing, and memory profiling.

InfoQ Homepage News PyTorch and TensorFlow: Which ML Framework is More Popular in Academia and Industry AI, ML & Data Engineering ...

Learn how to build your own AI agent from scratch with Python. This step-by-step guide makes AI development accessible for everyone.

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The Python APIs have been redesigned and are now closer in structure to NumPY, which improves stability and simplifies the process of incorporating TensorFlow with existing Python applications ...

When deploying large-scale deep learning applications, C++ may be a better choice than Python to meet application demands or to optimize model performance. Therefore, I specifically document my recent ...