Convolutional Neural Networks in Python 2016 Edition by LazyProgrammer

This online course, offered by the LazyProgrammer, focuses on teaching Python-based implementation of Convolutional Neural Networks (CNNs). It is part of a larger series on data science and machine learning. The course delves into the practical aspects of building and training CNNs using libraries like Theano and TensorFlow. It covers topics such as convolutional and pooling layers, backpropagation, and applying CNNs to real-world image recognition tasks. In this course we are going to up the ante and look at the StreetView House Number (SVHN) dataset – which uses larger color images at various angles – so things are going to get tougher both computationally and in terms of the difficulty of the classification task. But we will show that convolutional neural networks, or CNNs, are capable of handling the challenge!