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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…

TensorFlow 2.9 is Here: Present-day Use Cases

Towards AI

TensorFlow use cases, powers, and present-day definitions Continue reading on Towards AI

An Introduction to TensorFlow

Towards Data Science

Get to know the Machine Learning Framework, its Architecture and the Comparison to PyTorch Continue reading on Towards Data Science

Building Deep Learning Pipelines with Tensorflow Extended

Towards Data Science

You will see how easy it is to build Deep Learning pipelines like the big guys do Source. Acessed in (2022–06–27) Licensed under Apache 2.0 Objective On this tutorial, I aim to: * Explain the functio...

Learn to Code in TensorFlow2

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Tutorial tensorflow tensorflow2 keras to tensorflow keras to tf2 learn code in tensorflow cifar10 plot graph in tensorflow eager execution data augmentation resnet

TensorFlow 2.0: tf.data API

Analytics Vidhya

If you remember the time when only Queues were available in TensorFlow 1.x as the data structure for ETL pipeline (Extract / Transform / Load), and how it was sometimes difficult to manage some…

TensorFlow Dev Summit 2019 wrap-up

Towards Data Science

For the second consecutive year, I was lucky enough to attend the TensorFlow dev Summit on March 6th — 7th at the Google Event Center in Sunnyvale, California USA. Last year, I was impressed by the…

Top Highlights from TensorFlow Dev Summit 2020!

Analytics Vidhya

TensorFlow is a popular and leading open-source framework for developing machine learning and deep learning applications. Developed and pioneered by Google, TensorFlow is a flexible and ever-changing…...

What’s new in TensorFlow 2.0?

Towards Data Science

The machine learning library TensorFlow has had a long history of releases starting from the initial open-source release from the Google Brain team back in November 2015. Initially developed…

Advanced operation in TensorFlow

Analytics Vidhya

Previously we have already covered the basic operations in TensorFlow, like multiply, matmul and reduce sum. In this article, I will be talking about advanced operations like reshape, gradient and…

Introduction on TensorFlow 2.0

Towards Data Science

In this article, I am going to present some of my findings on my exploration of TensorFlow, the idea will be with TensorFlow to build and monitor ML models around image classification and what a…

Getting Started with TensorFlow the Easy Way (Part 2)

Analytics Vidhya

This is part 2 — “Variables and Placeholders in TensorFlow” of a series of articles on how to get started with TensorFlow. With deep learning frameworks popping up everywhere, most data scientists…

TensorFlow: Everything You Need to Know

Python in Plain English

TensorFlow is leading the Machine Learning, Deep Learning revolution. Created by Google Brain its democratizes AI empowering the developer… Continue reading on Python in Plain English