This is a collection of AI Lectures given by me Ali Talib at MoCoMakers events.
The lectures were hosted by Rockville Science Center) based in the Rockville Memorial Library.
All my lectures are available from my students Github repo at https://github.com/ChubaOraka/CNNs
- Lecture 1: In first lecture, I gave an introduction into the concept of neural networks esp Convolution Neural Nets.
- Lecture 2: We had deep dive into the code for shallow and deep networks, comparing the accuracy of the two.
- Lecture 3: This lecture introduced us to Adversarial attacks that can be done against neural networks. We were also introduced to the principles behind Generative Adversarial Networks.
- Lecture 4: As MakerSpace room was not available, This lecture was conducted in teh hallway and a study room on a notepad and pencil. I talked about GlobalAveragePooling layer, and explained about GAN, how they work and why they are useful.
- Lecture 5Basic Introduction to Generative Adversarial Networks (GANS). Demo MNIST - GAN and Celebretiy Faces GAN. Demo Programs were from the internet, Github links were provided.
- [Lecture 6](Object Recognition, IoU, mAP, R-CNN, FAST R-CNN, tensor flow Object Detection API demo , using webcam)
Disclaimer: Material, Images, Code has been taken from many different contributors and websites..