The only requirement is that a model is built using MLFlow, which is an open-source platform for managing the machine learning lifecycle. “It can be a TensorFlow model or a scikit model ...

Google Duplex—a recurrent neural network built with TensorFlow Extended (TFX), Google’s internal end-to-end machine learning platform. TensorFlow is Google Brain’s open-source machine ...

8:45 am November 6, 2023 By Julian Horsey In the dynamic world of machine learning, two heavyweight frameworks often dominate the conversation: PyTorch and TensorFlow.

TensorFlow remains the ‘workhouse’ of machine learning at Google In an era where large language models (LLMs) are all the rage, Spinelli emphasized that it’s now even more critical than ever ...

Introduction Machine Learning (ML) stands as one of the most revolutionary technologies of our era, reshaping industries and creating new frontiers in data analysis and automation. At the heart of ...

Among the innovations that power the popular open source TensorFlow machine learning platform are automatic differentiation (Autograd) and the XLA (Accelerated Linear Algebra) optimizing compiler ...

Last November, Microsoft made much the same move with its Distributed Machine Learning Toolkit (DMTK). That same month, Google took a similar step by releasing its own TensorFlow machine-learning ...

Besides being the creator of the deep-learning library Keras and a contributor to the Tensorflow machine learning framework, Francois is also well known for his artificial intelligence research ...