TensorFlow is a Python-friendly open source library for developing machine learning applications and neural networks. Here's what you need to know about TensorFlow.

At the same time, TensorFlow started to play better with standard Python infrastructure such as PyPI and pip, and with the NumPy package widely used by the scientific computing community.

Moreover, developers using standard TensorFlow mechanisms shouldn’t have to change their model architectures, training procedures, or processes. It follows hot on the heels of TensorFlow 2.0 ...

The Transformers library for TensorFlow brings together the most advanced Transformers-based AI models, like Google’s BERT and XLNet, Facebook’s RoBERTa, and OpenAI’s GPT and GPT-2.

Natural language processing libraries, including NLTK, spaCy, Stanford CoreNLP, Gensim and TensorFlow, provide pre-built tools for processing and analyzing human language.