At TensorFlow Dev Summit 2019, the TensorFlow team introduced the Alpha version of TensorFlow 2.0!

With TensorFlow 2.0, we are consolidating our APIs and integrating Keras across the TensorFlow ecosystem. In this talk, we give an overview of what to expect with TensorFlow High Level APIs in 2.0.

See the revamped dev site → https://www.tensorflow.org/

**Learn More**

☞ Complete Guide to TensorFlow for Deep Learning with Python

☞ Tensorflow Bootcamp For Data Science in Python

☞ Python for Data Science and Machine Learning Bootcamp

☞ Introducing TensorFlow.js: Machine Learning in Javascript

☞ Machine Learning in JavaScript with TensorFlow.js

☞ Introducing TensorFlow Datasets

☞ Variational Autoencoders with Tensorflow Probability Layers

Machine Learning With Python, Jupyter, KSQL, and TensorFlow. This post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers.

Complete hands-on Machine Learning tutorial with Data Science, Tensorflow, Artificial Intelligence, and Neural Networks. Introducing Tensorflow, Using Tensorflow, Introducing Keras, Using Keras, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Learning Deep Learning, Machine Learning with Neural Networks, Deep Learning Tutorial with Python

Libraries play an important role when developers decide to work in Machine Learning or Deep Learning researches. In this article, we list down 10 comparisons between TensorFlow and PyTorch these two Machine Learning Libraries.