Deep Learning in Computer Vision

This repo collects the material of Coursat.ai Deep Learning in Computer Vision Class.

Rounds:

Round 1:

April 2020
15 Attendees

Capstone Project:

MultiCheXNet, paper, code

Lectures:

Lecture 1: Introduction to Practical AI for Engineers
Lecture 2: Introduction to Deep Learning
- Video
- Deep Learning with Python and Keras
Lecture 3: Building blocks of Neural Nets
Lecture 4: Fundamentals of Practical Deep Learning Process
- Video
- Conventions of Deep Learning Data and Tensors
- Example: dealing with Video/Temporal data
  - Video DNN
  - Video CNN
- Deep Learning Process Fundamentals
Lecture 5: Introduction to ConvNets
Lecture 6: Transfer Learning and Pre-trained ConvNets
Lecture 7: Semantic Segmentation with ConvNets
Lecture 8: Object Detection with ConvNets
Lecture 9: Generative Adversarial Nets (GANs)