Now more platform than toolkit, TensorFlow has made strides in everything from ease of use to distributed training and deployment The importance of machine learning and deep learning is no longer ...

Google has announced the TensorFlow Lite Model Maker. TensorFlow Lite is an open-source deep learning framework for on-device inference. The new tool is designed to adapt machine learning models ...

Both PyTorch and TensorFlow support deep learning and transfer learning. Transfer learning, which is sometimes called custom machine learning, starts with a pre-trained neural network model and ...

TensorFlow Hub and Model Garden provide repositories of pre-trained models and source code, which can dramatically accelerate development and research. TFX offers a comprehensive end-to-end ...

For example, Facebook supports PyTorch, Google supports Keras and TensorFlow, Amazon supports MXNet, Microsoft supports CNTK Toolkit, ... The growth of machine learning model markets.

In the spirit of open-source code, Google hopes that access and use by researchers, engineers and even hobbyists will result in even better machine learning capabilities in the future.

TensorFlow Lite is a slimmed-down version of Google’s TensorFlow framework for training machine learning models. It’s a set of tools used by developers to run TensorFlow models on mobile ...

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 ...

Google is making a number of advances in the area of machine learning this week, from the release of TensorFlow 2.0 to updates to its Vision AI portfolio.. TensorFlow is Google’s open-source ...

Machine learning (ML), the most common form that AI takes today, relies on huge masses of data to train models. So an ML-enabled file system seems like a no-brainer. Here's the first one.