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Introduction to Image Classification using Pytorch to Classify FashionMNIST Dataset

In this blog post, we will discuss how to build a Convolution Neural Network that can classify Fashion MNIST data using Pytorch on Google Colaboratory. The way we do that is, first we will download the data using Pytorch DataLoader class and then we will use LeNet-5 architecture to build our model. Finally, we will train our model on GPU and evaluate it on the test data.

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Cerebras reveals AI Super computer on a chip for DeepLearning

This Californian startup unveils the world larget computer chip for accelerating deep learning. According to the company website "The Cerebras Wafer-Scale Engine...

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