
Deep Learning: Advanced Computer Vision (Gans, Ssd, +More!)
Last updated 8/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
VGG, ResNet, Inception, SSD, RetinaNet, Neural Style Transfer, GANs +More in Tensorflow, Keras, and Python
What you’ll learn
Understand and apply transfer learning
Understand and use object detection algorithms like SSD
Understand and apply neural style transfer
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
Description
Who this course is for:
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