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Paras Patidar
I am working on Machine Learning, Python and Django.
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Intro to Tensorflow

Introduction to tensorflow the core open source library to help you develop and train ML models

Intro to Tensorflow
An end-to-end open source machine learning platform

The core open source library to help you develop and train ML models.

Tensorflow

  1. For JavaScript : https://www.tensorflow.org/js/
  2. For Mobile and IOT : https://www.tensorflow.org/lite/
  3. For Production : https://www.tensorflow.org/tfx/

Why Tensorflow ?

Tensorflow is an end-to-end open source machine learning platform developed by Google. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.

Features:

1.Easy Model Building

Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging.

2.Robust ML production anywhere

Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use.

3.Powerful experimentation for research

A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster.

Here's Tensorflow 2.0
Build, deploy, and experiment easily with TensorFlow : https://www.tensorflow.org/