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[ FreeCourseWeb.com ] Deep Learning: Advanced Computer Vision (GANs, SSD, +More) (Updated 11/2020)
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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 119 lectures (15h) | Size: 2.83 GB
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 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
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
Latest update: Instead of SSD, I show you how to use RetinaNet, which is better and more modern. I show you both how to use a pretrained model and how to train one yourself with a custom dataset on Google Colab.
This is one of the most exciting courses I’ve done and it really shows how fast and how far deep learning has come over the years.
Use Winrar to Extract. And use a shorter path when extracting, such as C: drive
ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)
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