Advanced Computer Vision Replearning, Vae, Gan, Deepfake +

What you'll learn
Representation Learning
Deep Unsupervised/Supervised/Self Supervised Visual Representation Learning Techniques
Industry Level Advanced Computer Vision
Awesome SOTA Data Augmentation techniques in pytorch
Various properties of Softmax and CrossEntropy in Numpy & Pytorch
State of the art methods like RandAug, JigSaw, PEARL, NPILD, SimCLR, SupCon and many more..
SimCLR (Simple Contrastive Learning), Supervised contrastive learning
Faiss Search, Image Search and Cluster Search
noise contrastive estimator
Visual Transformers
AutoEncoders, VAE, GAN
DeepFake
Requirements
Desire to learn something awesome and new!
Description
Published in 2021: Alpha ReleaseYou can take this course risk-free and if you don't like it, you can get a refund anytime in the first 30 days!Welcome to the "Advanced CV Deep Representation Learning, Transformer, Data Augmentation VAE, GAN, DEEPFAKE +More in Pytorch & Numpy".Deep Unsupervised Visual Representation Learning, Unsupervised computer vision in deep learning is very niche skill and it is being heavily used in production by AI superstar companies like Google, Amazon, Facebook, as a matter of fact lots of ideas we will talk about. In this course are being used to build SOTA products like Shop the Look or Face Search, Speech to emotion detection.To learn Deep Learning and Deep Unsupervised Visual Representation learning, step-by-step, you have come to the right place! Deep Learning is Easy to learn, if you know basic Math and can code..Thanks to my several years of experience in Deep Learning, I wanted to share my experience in Deep Representation Learning...

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