The Slides for PyTorch Udacity Kolkata Meetup 2 talk on Convolutional Neural Networks by Arunava Chakraborty.

1. Convolutional Neural
Networks
By @iArunava

2. The 2012 ImageNet
Breakthrough
- ImageNet 2012 Challenge was the first to see a
Deep Learning Model make a breakthrough
- AlexNet
- 8 layers deep
- Since then, every year the ImageNet Challenge saw
a deeper CNN
AlexNet - Image Taken from the
paper

3. CNNs are everywhere
- Text Recognition
- Object Detection
- Image Labelling
- Style Transfer
- Deep Dream
- Medical Image Analysis
- Deep Reinforcement Learning
- Human Pose Detection
- ...

4. Convolutional Neural Networks
- Are the Neural Network Architectures mainly used in case of an image input

5. Convolutional Neural Networks
3 types of Layers:
- Convolutional Layer
- Pooling Layer
- Fully Connected Layer

6. Convolutional Layer

7. Pooling Layer
- Max Pooling
- Average Pooling

8. Flattening

9. Fully Connected Layer

10. Putting it together
Image Taken from cs231n Lectures

11. Now start building your own CNN
architectures!
Thank you!