TensorFlow: What is it? How to use it? Ultimate Guide 2023
TensorFlow is an open source deep learning platform created by Google. Equipped with a Python API, it offers a multitude of tools to train and optimize artificial neural networks.
TensorFlow is an open source deep learning platform created by Google. Equipped with a Python API, it offers a multitude of tools to train and optimize artificial neural networks.
Open source is H2O.ai’s main differentiator. Available under the Apache 2.0 license, its offer revolves around a machine learning platform equipped with an auto ML engine.
C3.ai Suite is an end-to-end machine learning platform. It comes with the C3.ai Ex Machina no-code development environment.
Written in Python, Keras is an artificial neural network rapid prototyping interface. It is based on the deep learning libraries Tensorflow, Microsoft Cognitive Toolkit, PlaidML and Theano.
Machine learning, or automatic learning, is the main technique of AI. It consists of training algorithms from a learning base to enable them to make predictions or automate tasks.
Transformer type, the large language model has no less than 175 billion parameters. Which makes it an AI capable of covering questions and answers, translation, generation of text or application code.
The open source project orchestrated by INRIA has become a reference machine learning infrastructure alongside deep learning frameworks such as Keras, Pytorch or Tensorflow.
Dataiku is an artificial intelligence platform created in France in 2013. It has since become one of the world’s benchmarks for data science and machine learning studios.
Alteryx is a no-code data analytics and data visualization platform. His ambition? Putting AI within the reach of business experts. Alteryx, what is it? Founded in 1997 in the United States, Alteryx is a data analytics automation platform. Oriented no code, it can be used by companies and their collaborators using data in order to […]