In this talk, we will go on a journey into the wonderful world of artificial neural networks. From the concepts that made these learning systems
possible to their latest evolution (deep learning), we will cover the most important aspects of artificial neural networks. We will be covering the
fundamental parts of neural networks, how learning happens, types of learning and different types of networks. The talk will be theoretical in
nature but we will liven it up with some practical examples and tips. No previous experience with artificial neural networks is required.
Keywords: artificial neural networks, supervised learning, unsupervised learning, deep learning, gradient descent, backpropagation
You can view a notebook detailing Oliver’s presentation here:
You can watch Oliver’s presentation below