In this article, I am going to discuss why PyTorch is the best Deep Learning framework. It’s extremely easy to use and very flexible for implementations.
In this post, we present a working example of the k-nearest neighbor classifier. Previously we covered the theory behind this algorithm. Please refer Nearest Neighbor Classifier – From Theory to Practice post for further detail. A Recap to Nearest Neighbor Classifier When we utilize KNN for classification purposes, the prediction is the class associated the highest frequency …
In this tutorial, we walked through the linear model creation using TensorFlow. The line which was found after training, is not guaranteed to be the best one. Different parameters affect the convergence accuracy. The linear model is found using stochastic optimization and its simplicity makes our world easier.