Dear friend, welcome to the course "Modern Deep Convolutional
Neural Networks"! I tried to do my best in order to share my
practical experience in Deep Learning and Computer vision with
The course consists of 4 blocks:
Introduction section, where I remind you, what is Linear layers, SGD, and how to train Deep Networks.
Convolution section, where we discuss convolutions, it's parameters, advantages and disadvantages.
Regularization and normalization section, where I share with you useful tips and tricks in Deep Learning.
Fine tuning, transfer learning, modern datasets and architectures
If you don't understand something, feel free to ask equations. I will answer you directly or will make a video explanation.
- Convolutional Neural Networks
- Regularization and Normalization
- Improving the quality
- Boat Recognition Project