Artificial Intelligence systems powered by deep learning are changing how we work, communicate, and make decisions. If we ...

Reinforcement Learning and Deep Learning TensorFlow’s capabilities in reinforcement learning are worth noting, particularly its ability to facilitate complex, state-of-the-art algorithms in this ...

From IBM's AI for Everyone on edX to Google Cloud's Introduction to Generative AI, and practical modules from Microsoft, HP ...

Keras 3.0, a “full rewrite” of the Keras deep learning API, has arrived, providing a new multi back-end implementation of the API.

A key part of the TensorFlow ecosystem is the Keras API suite, which provides a set of Python language-based deep learning capabilities on top of the core TensorFlow technology.

Specialization: Machine Learning Instructor: Geena Kim, Assistant Teaching Professor Prior knowledge needed: Calculus, Linear algebra, Python Learning Outcomes Explain what multilayer perceptrons, ...

Recently released TensorFlow v2.9 introduces a new API for the model, data, and space-parallel (aka spatially tiled) deep network training. DTensor aims to decouple sharding directives from the model ...