Learn Tensorflow!

647 Tensorflow courses are available from Pluralsight, Udemy, Coursera, Datacamp, Packt and Edx.

TensorFlow is a free and open-source software library for dataflow and differentiable programming across a range of tasks. It is a symbolic math library, and is also used for machine learning applications such as neural networks. It is used for both research and production at Google.‍  TensorFlow was developed by the Google Brain team for internal Google use. It was released under the Apache License 2.0 on November 9, 2015. == History == === DistBelief === Starting in 2011, Google Brain built DistBelief as a proprietary machine learning system based on deep learning neural networks. - read more on Wikipedia

  • flag Pluralsight
  • student Intermediate
  • database Video
  • earth English
  • clock 3h 15m

Build a Machine Learning Workflow with Keras TensorFlow 2.0

This course focuses on Keras as part of the TensorFlow 2.0 ecosystem^ including sequential APIs to build relatively straightforward models of stacked layers^ functional APIs for more complex models^ and model subclassing and custom layers.

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  • flag Pluralsight
  • student Intermediate
  • database Video
  • earth English
  • clock 1h 53m

Designing Data Pipelines with TensorFlow 2.0

This course will evaluate one of the largest changes from TensorFlow 1.0 to TensorFlow 2.0 – the tf.data module. This simplified and unified interface makes managing data pipelines easier with tf.data.

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  • flag Pluralsight
  • student All Levels
  • database Video
  • earth English
  • clock 3h 16m

End-to-End Machine Learning with TensorFlow on GCP

This course is set up as a workshop where you will do End-to-End Machine Learning with TensorFlow on Google Cloud Platform. It involves building an end-to-end model from data exploration all the way to deploying an ML model and getting …

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  • flag Pluralsight
  • student Beginner
  • database Video
  • earth English
  • clock 3h 9m

Getting Started with Tensorflow 2.0

This course focuses on introducing the TensorFlow 2.0 framework - exploring the features and functionality that it offers for building and training neural networks. This course discusses how TensorFlow 2.0 differs from TensorFlow 1.x and how the use of the …

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  • flag Pluralsight
  • student All Levels
  • database Video
  • earth English
  • clock 3h 0m

Introduction to TensorFlow

In this course^ you will learn how to create machine learning models in TensorFlow which is the tool we will use to write machine learning programs. You’ll learn how to use the TensorFlow libraries to solve numerical problems.

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  • flag Pluralsight
  • student Intermediate
  • database video
  • earth English
  • clock 4h 46m

ng-conf 19: Introduction to Machine Learning with TensorFlow.js

Introduction to Machine Learning with TensorFlow.js | Asim Hussain

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  • flag Udemy
  • student All Levels
  • database eLearning
  • earth English
  • clock 3h

A beginners guide for building neural networks in tensorflow

How to learn deep learning and neural networks in tensorflow from scratch. Tensorflow training for beginners.

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  • flag Udemy
  • student Beginner
  • database eLearning
  • earth English
  • clock 13h

A Complete Guide on TensorFlow 2.0 using Keras API

Build Amazing Applications of Deep Learning and Artificial Intelligence in TensorFlow 2.0

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  • flag Udemy
  • student Expert
  • database eLearning
  • earth English
  • clock 2h

Advanced Computer Vision with TensorFlow

Exploit the power of TensorFlow to perform image processing

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  • flag Udemy
  • student Intermediate
  • database eLearning
  • earth English
  • clock 3h

Applied Deep Learning with TensorFlow - A practical Approach

An in-depth study on Deep Learning and how to implement Neural Networks in TensorFlow from scratch.

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  • flag Udemy
  • student All Levels
  • database eLearning
  • earth English
  • clock 6h

Applied Deep Learning with TensorFlow and Google Cloud AI

Take your Deep Learning skills to the next level using TensorFlow and Google Cloud AI

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  • flag Udemy
  • student Beginner
  • database eLearning
  • earth English
  • clock 4.5h

Beginning Application Development with TensorFlow and Keras

Learn to design^ develop^ train^ and deploy TensorFlow and Keras models as real-world applications

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