Afin de simplifier la mise en place de projets de deep learning avec son outil open source TensorFlow, Google vient de lancer une librairie de workflow baptisée Tensor2Tensor (T2T).

Dès la mi-2016, la plupart des grandes sociétés de tech avaient leur propre système de deep learning : MXNet, Chainer, Theano, TensorFlow, Keras, et un millier de bibliothèques plus réduites.

L'une des contributions les plus importantes a certainement été TensorFlow. Développé à l'origine pour un usage interne par Google Brain, l'équipe de Deep Learning, TensorFlow a été rendu disponible ...

Fortunately, there is a Python code upgrade script, installed automatically with TensorFlow 2.0, and there is also a compatibility module (compat.v1) for API symbols that can not be upgraded ...

Machine Learning : La bibliothèque accélérée par WebGL fonctionne avec le runtime JavaScript côté serveur de Node.js, ... mais pas au même niveau que l'API Python de Tensorflow.

Most deep learning books are based on one of several popular Python libraries such as TensorFlow, PyTorch, or Keras. In contrast, Grokking Deep Learning teaches you deep learning by building ...

TensorFlow is a widely used and one of the best Python libraries for deep learning applications. It provides a wide range of flexible tools, libraries, and community resources.

If you actually need a deep learning model, PyTorch and TensorFlow are both good choices. Topics ... PyTorch uses Python as its scripting language, and uses an evolved Torch C/CUDA back-end.

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL ... updated version of TensorFlow, named TensorFlow 2.0, ...

Teaching yourself deep learning is a long and arduous process. You need a strong background in linear algebra and calculus, good Python programming skills, and a solid grasp of data science ...