Web Class: An Introduction to Neural Networks

Transcript Part 1 Hello everybody. My name is Mohit Deshpande. And before we get into our main topic of neural networks, I first wanna talk a little bit about where they come from. In this video, I just wanna very briefly just go over kind of the inspiration for neurons, and this topic of neural … Read moreWeb Class: An Introduction to Neural Networks

Complete Guide to Deep Neural Networks – Part 2

Read Part 1 here. Last time, we formulated our multilayer perceptron and discussed gradient descent, which told us to update our parameters in the opposite direction of the gradient. Now we’re going to mention a few improvements on gradient descent and discuss the backpropagation algorithm that will compute the gradients of the cost function so … Read moreComplete Guide to Deep Neural Networks – Part 2

Complete Guide to Deep Neural Networks – Part 1

Neural networks have been around for decades, but recent success stems from our ability to successfully train them with many hidden layers. We’ll be opening up the black-box that is deep neural networks and looking at several important algorithms necessary for understanding how they work. To solidify our understanding, we’ll code a deep neural network … Read moreComplete Guide to Deep Neural Networks – Part 1

Perceptrons: The First Neural Networks

Neural Networks have become incredibly popular over the past few years, and new architectures, neuron types, activation functions, and training techniques pop up all the time in research. But without a fundamental understanding of neural networks, it can be quite difficult to keep up with the flurry of new work in this area. To understand … Read morePerceptrons: The First Neural Networks

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