[Download] College Level Neural Nets [II] - Conv Nets: Math & Practice! For Free
What you’ll learn
- Deep understanding of convolutional neural networks [CNNs].
- Mathematical derivations for CNN-related tasks.
- Different types of convolutional neural network building blocks with their pros and cons.
- A lot of applications based on CNNs, with lots of tips and tricks.
- How to read and understand research papers in detail.
Requirements
- Have a prior good understanding of Neural networks, as this is the second course in the deep learning series.
- Have a proper understanding of basic linear algebra and calculus.
Who this course is for:
- Computer science students wishing to learn about deep learning in good detail.
- Software developers with an interest in machine learning and deep learning.
- Deep learning practitioners hoping for more deep theoretical knowledge about the inner-workings of neural networks.