With great power comes great responsibility. It's tremendous when you are creating a neural network. Knowing how the most revolutionary tool works under the hood is quintessential for all ML/AI aspirants. In this session, student developers - Manish Kausik H and K. Poornima would introduce neural networks and their working principles in the least machined way! They will walk you through the ideas behind this tool, explain the nuances of its structure and how they are trained.
Prerequisites: Linear and Logistic Regression, Gradient descent
You can get comfortable with these topics by watching the following great videos:
1. Linear Regression: https://www.youtube.com/watch?v=PaFPbb66DxQ
2. Gradient Descent: https://www.youtube.com/watch?v=sDv4f4s2SB8
https://www.youtube.com/watch?v=IHZwWFHWa-w
3. Logistic regression: https://www.youtube.com/watch?v=yIYKR4sgzI8
In case you are curious about Neural Networks and you can’t wait until the 31st, check this link: https://www.youtube.com/watch?v=aircAruvnKk
