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 […]
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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 […]
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A quick complete tutorial to save and restore Tensorflow models
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 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 […]
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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 […]
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