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Explore and Validate Datasets with TensorFlow Extended

Towards AI

Introduction to TensorFlow Data Validation with a practical example Continue reading on Towards AI

End-to-end Machine Learning with TFX on TensorFlow 2.x

Towards Data Science

I was pretty excited when Tensorflow 2.0 was released late last year. After all, it promised a more enjoyable developer experience over its 1.x counterpart (otherwise known as the deep learning…

Playing with TensorFlow

Towards Data Science

I’ve wanted to learn more about neural nets and in particular TensorFlow for a while now. I recently had a bit more time to dedicate to it, so began to write about what I had learned and some of the…

Intro to ML Ops : Tensorflow Extended (TFX)

Towards Data Science

In the past blog, I have talked about MLOps and technical debt which turn your ML System into a big nightmare with tons of monetary loss. Developing ML systems is like running a hotel; if left…

TensorFlow is in a relationship with Keras — Introducing TF 2.0

Towards Data Science

Google’s TensorFlow team announced its newest and quite easy-to-use version earlier this year. For people who have used any of TensorFlow 1.XX, this version is less ugly, less creepy and more…

Tensorflow basics

Analytics Vidhya

In this notebook we see the basics of Tensorflow 2.0. The latest tensorflow version during the time of this notebook prep was 2.4.0. To install tensorflow or tensorflow-gpu on your system, please…

Effective Tensorflow 2

TensorFlow Guide

This guide provides a list of best practices for writing code using TensorFlow 2 (TF2), it is written for users who have recently switched over from TensorFlow 1 (TF1). Refer to the migrate section of...

TensorFlow 2.0: Dynamic, Readable, and Highly Extended — Exxact Blog

Towards Data Science

Considering learning a new Python framework for deep learning? If you already know some TensorFlow and are looking for something with a little more dynamism, you no longer have to switch all the way…

Python:TensorFlow

Codecademy

TensorFlow is a free and open-source library for artificial intelligence and machine learning created by the Google Brain team. It is primarily used with Python but also supports other programming lan...

Getting started with TensorFlow

Analytics Vidhya

TensorFlow might sound intimidating to some ears. But a closer look tells a different story. In this article we discuss - DAG, Estimator API and TensorBoard

TensorFlow 101: Basics for Beginners

Level Up Coding

TensorFlow is used in a variety of applications, from image and speech recognition to natural language processing and robotics Continue reading on Level Up Coding

Tensorflow 2 for Deep Learning — Tensor Basics

Analytics Vidhya

Tensorflow is a DeepLearning library which has a lot of inbuilt classes and functions which allow you to perform these complex deep learning matrix multiplications and gradient calculations easily…