#### 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#### ResNet, AlexNet, VGG, Inception: Understanding various architectures of Convolutional Networks

Convolutional neural networks are fantastic for visual recognition tasks. Good ConvNets are beasts with millions of parameters and many hidden layers. In fact, a bad rule of thumb is: ‘higher the number of hidden layers, better the network’. AlexNet, VGG, Inception, ResNet are some of the popular networks. Why do these networks work so well? How are they […]

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 Tensorflow 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 with Tensorflow and convolutional neural networks. Otherwise, please follow the 10 minutes quick tensorflow tutorial and/or convolutional neural network tutorial and come back here. […]

Continue Reading#### Accelerating Convolutional Neural Networks on Raspberry Pi

Unless you have been living under the rock, you must have heard of the revolution that deep learning and convolutional neural networks have brought in computer vision. Computers have achieved near-human level accuracy for most of the tasks. However, most of the top performing neural networks for state of the art image recognition problem suffer […]

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 […]

Continue Reading#### Tensorflow Tutorial 2: image classifier using convolutional neural network

In this Tensorflow tutorial, we shall build a convolutional neural network based image classifier using Tensorflow. If you are just getting started with Tensorflow, then it would be a good idea to read the basic Tensorflow tutorial here. To demonstrate how to build a convolutional neural network based image classifier, we shall build a 6 […]

Continue Reading#### TensorFlow Tutorial: 10 minutes Practical TensorFlow lesson for quick learners

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 […]

Continue Reading#### Install Tensorflow-1.0 with GPU on ubuntu 14.04 on AWS P2.xlarge

This post is for you if you are looking to install TensorFlow 1.0 from source on ubuntu 14.04 on AWS machine with GPU support(CUDA). Quick Summary of setup: OS: ubuntu 14.04 Cloud: AWS P2.xlarge instance TensorFlow version: 1.0.0-rc1 Bazel Version: 0.4.4 CuDNN: 5.1 CUDA: 8.0 Once you have launched an AWS P2.xlarge instance with ubuntu […]

Continue Reading