Installing Anaconda meaning installing Python with some commonly used libraries such as Numpy, Pandas, Scrip, and Matplotlib.įor a Python developer or a data science researcher, using Anaconda has a lot of advantages, such as independently installing/updating packages without ruining the system. It comes with many useful built-in third-party libraries. What is Anaconda and why I recommend it?Īnaconda is a Python-based data processing built for data science. Here, I’m going to show you how to install TensorFlow 2.0 in Anaconda. That’s way, TensorFlow 2.0 is more friendly than the older version 1.x.įor those of you who don’t have prior experience with this topic, this post is special for you. We can now easily debug TensorFlow’s variables and print their values just like in the standard Python.

With eager execution by default and tight integration with Keras, now TensorFlow 2.0 makes the development of machine learning applications much easier than before. In September last year, 2019, Google finally announced the availability of the final release of TensorFlow 2.0.

It has been used in many different fields of applications including handwritten digit classification, image recognition, object detection, word embeddings, and natural language processing (NLP). TensorFlow is still one of the popular Deep learning frameworks.

Environnement conda python version