Pytorch: Advanced Deep Learning (Computer Vision, DataAug)
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 1.36 GB | Duration: 3h 32m
Deep Learning : Deep Unsupervised Visual Representation learning (DUVRL) and SOTA Data Augmentation in Pytorch & Numpy
What you'll learn
Deep Unsupervised Visual Representation Learning Techniques
Deep Learning in Unsupervised manner
Computer Vision
Deep Learning for Computer Vision
Learn how companies like Google, Facebook build production level models
Basics of Pytorch & Numpy
Awesome SOTA Data Augmentation techniques in pytorch
Various properties of Softmax and CrossEntropy in Numpy & Pytorch
SimCLR (Simple Contrastive Learning)
Supervised contrastive learning
Non Parametric Instance Level Learning
Image Search and Cluster Search
Faiss Search
noise contrastive estimator
contrastive learning
SOTA papers like RandAug, JigSaw, PEARL, SimCLR, SupCon and many more.
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Similarity metric like Cosine euclidean in Pytorch
Description
Published in 2021: Alpha Release
Dedicated to my Late Father KPS
You can take this course risk-free and if you don't like it, you can get a refund any in the first 30 days!
Welcome to the Deep Unsupervised Visual Representation learning (DUVRL) and SOTA Data Augmentation in Pytorch & Numpy
Deep Unsupervised Learning is very niche skill and it is being heavily used in production by AI superstar companies like Google, , 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 etc.
To learn Deep Learning and Deep Unsupervised Visual Representation learning step-by-step, you have come to the right place!
