Where to go from here?
Explore the key deep learning models covered so far and discover the next topics for study, including reinforcement learning, advanced frameworks, and emerging architectures. Understand how to apply your knowledge to real-world problems and stay updated with the latest research and resources in deep learning.
We'll cover the following...
Recap
In this admittedly long and difficult course, you saw everything you need to know about deep learning as of 2021.
First, we examined the basic principles behind Neural Networks starting with the Linear classifier. Then, we proceeded to discuss the Feedforward Networks as a natural extension of linear models.
We also discussed how to train a deep network using backpropagation and gradient descent as well as the most commonly used optimization algorithms and activation functions.
Convolutional Neural Networks was the architecture that started the whole deep learning hype back in 2012. We talked about it in considerable detail to ensure that you would have a ...