English | Size: 1.37 GB
Genre: eLearning
What you’ll learn
Deep Unsupervised Visual Representation Learning Techniques
Deep Learning in Unsupervised manner
Computer Vision
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, PEARL
Image Search and Cluster Search
Faiss Search
noise contrastive estimator
SOTA papers like RandAug, JigSaw, PEARL, SimCLR, SupCon and many more..
Similarity metric like Cosine euclidean in Pytorch
DeepFake, GANN, Variational Autoencoders (VAE)
You 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 Computer Vision Deep unsupervised Learning, Data Aug, DeepFake, VAE, GAN in Pytorch & Numpy
This course is divided into 2 parts:
Deep Unsupervised Visual Representation Learning, Unsupervised computer vision in deep learning, Generative Computer vision 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, Generative deep 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 make Deep Learning both discriminative and generative to everyone.
We’ll take a step-by-step approach to learn all the fundamentals of Unsupervised Visual Representation learning.
At the end of this course, you’ll be productive and you’ll know the following:
First Part
Unsupervised Visual Representation learning
Numpy
pytorch
pytorch Tensor API
pytorch Tensor Manipulation
pytorch Autograds and gradients
pytorch Vision training pipeline
torchvision pretrained model load
Image Search
Cluster Search
Faiss Search
PEARL
NPILD
JigSaw
SimCLR
SupCon
Second Part
Generative Models
DeepFake
VAE
GAN
DeepFake Detection
Who this course is for:
Developer who are interested in building AI/Deep Learning products
Architects who are interested in building AI//Deep Learning products
Developer and AI Developer who are interested in Data Augmentation Technique
Developer and AI Developer who are interested in Computer Vision, Deep Learning, Deep Unsupervised Learning
nitro.download/view/DC7BB910A30FC47/Pytorch-Advanced-Deep-Learning-Computer-Vision-DataAug.part1.rar
nitro.download/view/390D202A8F9C62E/Pytorch-Advanced-Deep-Learning-Computer-Vision-DataAug.part2.rar
nitro.download/view/E84C86EFA33A430/Pytorch-Advanced-Deep-Learning-Computer-Vision-DataAug.part3.rar
nitro.download/view/6C0AFBAC1AE0533/Pytorch-Advanced-Deep-Learning-Computer-Vision-DataAug.part4.rar
rapidgator.net/file/b3ab7a48e43c62bf5aaec80803ede8c5/Pytorch-Advanced-Deep-Learning-Computer-Vision-DataAug.part1.rar.html
rapidgator.net/file/e09276fc2e8f75c9c2bc5f7eb6cfd19c/Pytorch-Advanced-Deep-Learning-Computer-Vision-DataAug.part2.rar.html
rapidgator.net/file/254b83cadac34e63f3747aefaf1ce1cb/Pytorch-Advanced-Deep-Learning-Computer-Vision-DataAug.part3.rar.html
rapidgator.net/file/f4f872dda4ef95935d229a46ae89d57d/Pytorch-Advanced-Deep-Learning-Computer-Vision-DataAug.part4.rar.html
If any links die or problem unrar, send request to
forms.gle/e557HbjJ5vatekDV9