TensorFlow

Tensorflow tutorials

A quick complete tutorial to save and restore Tensorflow 2.0 models
by Ankit Sachan • July 17, 2020

Update: This article has been updated to show how to save and restore models in Tensorflow 2.0. If you want to learn the same with Tensorflow1.x, please go to this earlier article that explains how to save and restore Tensorflow 1.x models. In this Tensorflow 2.X tutorial, I shall explain: What is a Tensorflow-Keras Model API? […]

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Choosing a Deep Learning Framework: Tensorflow or Pytorch?
by Ankit Sachan • May 29, 2018

One of my friends is the founder and Chief data scientist at a very successful deep learning startup. 2017 was a good year for his startup with funding and increasing adoption. However, on a Thursday evening last year, my friend was very frustrated and disappointed. The framework on which they had built everything in last […]

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Tensorflow tutorials

A quick complete tutorial to save and restore Tensorflow models
by Ankit Sachan • September 6, 2017

In this Tensorflow tutorial, I shall explain: How does a Tensorflow model look like? How to save a Tensorflow model? How to restore a Tensorflow model for prediction/transfer learning? How to work with imported pretrained models for fine-tuning and modification This tutorial assumes that you have some idea about training a neural network. Otherwise, please […]

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Tensorflow tutorials

A quick complete tutorial to save and restore Tensorflow models
by Ankit Sachan • March 20, 2017

Update: This popular article shows how to save and restore models in Tensorflow 1.x. If you want to learn the same with Tensorflow2.x, please go to this article that explains how to save and restore Tensorflow 2.x models. In this Tensorflow tutorial, I shall explain: How does a Tensorflow model look like? How to save […]

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TensorFlow Tutorial: 10 minutes Practical TensorFlow lesson for quick learners
by Ankit Sachan • February 8, 2017

This TensorFlow tutorial is for someone who has basic idea about machine learning and trying to get started with TensorFlow. You would need to have TensorFlow installed. You can follow this tutorial to install TensorFlow. This tensorflow tutorial is divided into two parts; in first part we explain the basics with example; in second part […]

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