# Tensorflow tutorial

#### Freeze Tensorflow models and serve on web

In this tutorial, we shall learn how to freeze a trained Tensorflow Model and serve it on a webserver. You can do this for any network you have trained but we shall use the trained model for dog/cat classification in this earlier tutorial and serve it on a python Flask webserver. So you trained a new […]

Continue Reading#### Image Segmentation using deconvolution layer in Tensorflow

In this series of post, we shall learn the algorithm for image segmentation and implementation of the same using Tensorflow. This is the first part of the series where we shall focus on understanding and be implementing a deconvolutional/fractional-strided-convolutional layer in Tensorflow. Why is deconvolutional layer so important? Image segmentation is just one of […]

Continue Reading#### Keras tutorial: Practical guide from getting started to developing complex deep neural network

Keras is a high-level python API which can be used to quickly build and train neural networks using either Tensorflow or Theano as back-end. This tutorial assumes that you are slightly familiar convolutional neural networks. You can follow the first part of convolutional neural network tutorial to learn more about them. In this quick tutorial, we shall […]

Continue Reading#### Quick complete Tensorflow tutorial to understand and run Alexnet, VGG, Inceptionv3, Resnet and squeezeNet networks

This Tensorflow tutorial for convolutional neural networks has three parts: 1. We shall look at some of the most successful convolutional neural network architectures like Inception, AlexNet, Resnet etc. 2. In the second part, we shall take a quick tutorial of a popular high-level and light-weight Tensorflow library called TensorFlow-Slim(TF-Slim). 3. Finally, using TF-Slim, we […]

Continue Reading#### A quick complete tutorial to save and restore Tensorflow models

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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