Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)

VGG, ResNet, Inception, SSD, RetinaNet, Neural Style Transfer, GANs +More in Tensorflow, Keras, and Python

Created by: Lazy Programmer Inc.
Artificial intelligence and machine learning engineer

What Will I Learn?

• Understand and apply transfer learning
• Understand and use state-of-the-art convolutional neural nets such as VGG, ResNet and Inception
• Understand and use object detection algorithms like SSD
• Understand and apply neural style transfer
• Understand state-of-the-art computer vision topics
• Class Activation Maps
• GANs (Generative Adversarial Networks)
• Object Localization Implementation Project
• Understand important foundations for OpenAI ChatGPT, GPT-4, DALL-E, Midjourney, and Stable Diffusion

Requirements

• Know how to build, train, and use a CNN using some library (preferably in Python)
• Understand basic theoretical concepts behind convolution and neural networks
• Decent Python coding skills, preferably in data science and the Numpy Stack

Target audience

• Students and professionals who want to take their knowledge of computer vision and deep learning to the next level
• Anyone who wants to learn about object detection algorithms like SSD and YOLO
• Anyone who wants to learn how to write code for neural style transfer
• Anyone who wants to use transfer learning
• Anyone who wants to shorten training time and build state-of-the-art computer vision nets fast