Advanced Computer Vision RepLearning, VAE, GAN, DEEPFAKE +

سرفصل های دوره

Advanced CV Deep Representation Learning, Transformer, Data Augmentation VAE, GAN, DEEPFAKE +More in Pytorch & Numpy

1 - Introduction

1 - Course Overview

2 - Applications

3 - Google Colab Setup

4 - Course Structure & Important Notes

2 - Data Science in Numpy & Pytorch code Background

1 - Quiz on Numpy.html

5 - Data Science in Numpy Part1 Code

5 - background-20210619T121800Z-001.zip

6 - Data Science in Pytorch Part1 Code

7 - Data Science in Pytorch Part 2Code

3 - Pytorch AutoGrad

8 - Pytorch AutoGrad

8 - torch-grad.zip

9 - Custom CNN in Pytorch

9 - custom-cnn.zip

4 - Faiss & Image Search Hands on Dont skip

10 - Image SearchBasic & Cluster

10 - image-search-20210630T095610Z-001.zip

11 - Faiss Overview

12 - Basic Image Search Code

13 - Basic Image Search With pertained Resnet cifar10 dataset Code

14 - Cluster Search Code

5 - SOTA Data augmentation Hands On

15 - Why Data Augmentation & History

15 - augmentations-20210616T045647Z-001.zip

16 - CutMix Paper Overview

17 - Results of CutMix

18 - CutMix Algorithm

19 - CutMix Code

20 - RandAugment

21 - RandAugment Code

6 - Softmax think out of the box Hands On

22 - SoftMax Think out of the box

22 - soft-softmax-20210616T050523Z-001.zip

23 - Temperature Scaling & soft softmax code

24 - Summery

7 - Prelearing & UVR by Context Prediction Theory

25 - Pretext Task

26 - Overview of Unsupervised Visual Representation Learning by Context Prediction

27 - Results of UVR by Context Prediction

8 - JigSaw

28 - Overview of Jigsaw

29 - Network and Training process

30 - Results of JigSaw

9 - NonParametric Instance Level DiscriminationNPILD hands on

31 - NonParametric Instancelevel Discrimination & Metric learning approach

32 - NPILD Training Process

33 - Non Parametric Softmax

34 - Noise contrastive estimation NCE Part 1

35 - FULL NCE Loss

36 - NPILD Put it all together

37 - NPILD Result

38 - Non Parametric Softmax CrossEntropy Code

10 - PEARL

39 - SelfSupervised Learning of PretextInvariant Representations PEARL Part 1

40 - PEARL Overview Part 2

41 - PEARL Loss

42 - PEARL Results

11 - PEARL and NPILD code

43 - NCE & Memory Bank Code

43 - npild-pearl-20210616T045621Z-001.zip

44 - Network and Training NPILD & Pearl Code

12 - SimCLR

45 - SIMCLR Overview

46 - SIMCLR & Multiview Batch

47 - SimCLR Algorithm and Loss

48 - Training Details

49 - Softmax is invariant under translation Important

13 - SupCon & SimCLR Code

50 - Supervised Contrastive Learning

50 - selfsupcon-supcon-20210622T163534Z-001.zip

51 - Mocking SimCLRCode

52 - SimClr and Supervised Contrastive Learning Code

14 - Practice Test Covering Upto DUVRL

1 - Test Numpy skill.html

2 - Test what you have learned.html

15 - Few More ideas in Visual Representation Learning

53 - Vissl & Albumentations

54 - Tips From My Expeience

55 - Few More ideas

16 - DeepFakes & Beyond Second Part of the courseInProgress

56 - Introduction to DeepFake & Beyond

57 - Generative Vs Discriminative AI With VAE Example will be separate course

139,000 تومان

خرید اشتراک افزودن به سبد خرید

خرید دانلودی فوری

در این روش نیاز به افزودن محصول به سبد خرید و تکمیل اطلاعات نیست و شما پس از وارد کردن ایمیل خود و طی کردن مراحل پرداخت لینک های دریافت محصولات را در ایمیل خود دریافت خواهید کرد.

تولید کننده: Udemy-Training