Nov. 29, 2023, 9:37 p.m. |

InfoWorld Machine Learning

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

Unveiled November 27, and accessible from GitHub, Keras 3.0 enables developers to run Keras workflows on top of the Jax, TensorFlow, or PyTorch machine learning frameworks, featuring large-scale model training and deployment capabilities. Keras is deployed as a low-level cross-framework language to develop custom components such as layers, models, or metrics that can …

api deep learning developers development libraries and frameworks frameworks github implementation jax keras machine machine learning pytorch scale software development tensorflow training workflows

Data Scientist (m/f/x/d)

@ Symanto Research GmbH & Co. KG | Spain, Germany

Data Analyst


EY GDS Internship Program - Junior Data Visualization Engineer (June - July 2024)

@ EY | Wrocław, DS, PL, 50-086

Staff Data Scientist

@ ServiceTitan | INT Armenia Yerevan

Master thesis on deterministic AI inference on-board Telecom Satellites

@ Airbus | Taufkirchen / Ottobrunn

Lead Data Scientist

@ Picket | Seattle, WA