Keras ships with support for three back-end deep learning frameworks: TensorFlow, CNTK, and Theano. Amazon is currently working on developing a MXNet back-end for Keras.

Keras proper, a high-level front end for building neural network models, ships with support for three back-end deep learning frameworks: TensorFlow, CNTK, and Theano. Amazon is currently working ...

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

Build A Deep Neural Network From Scratch In Python — No Tensorflow! Posted: May 7, 2025 | Last updated: May 7, 2025. Step-by-step coding a full deep neural network with zero libraries — just ...

TensorFlow has become the most popular tool and framework for machine learning in a short span of time. It enjoys tremendous popularity among ML engineers and developers. According to the Hacker ...

Google announced TensorFlow 2.0 is now available for public use. ... Initial integration with the Keras deep learning library began with the release of TensorFlow 1.0 in February 2017.

Because Keras and TensorFlow are being developed so quickly, you should include a comment that indicates what versions were being used. Notice you must import Keras, but you don't import TensorFlow ...

Google announced yesterday that its Deep Learning algorithm, TensorFlow, has been open-sourced. According to Google, this is the second generation machine learning algorithm, with the first one ...

Developers can submit ML training jobs created in TensorFlow, Keras, PyTorch, Scikit-learn, and XGBoost. Google now offers in-built algorithms based on linear classifier, wide and deep and XGBoost ...

“TensorFlow is a machine learning library that’s used across Google for applying deep learning to a lot of different areas,” says Rajat Mongo, a technical lead on the TensorFlow project, in a YouTube ...