Pytorch 入门到精通

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2021-04-09 20:24:00
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https://www.youtube.com/playlist?list=PLhhyoLH6IjfxeoooqP9rhU3HJIAVAJ3Vz github:https://github.com/aladdinpersson/Machine-Learning-Collection/tree/master/ML/Pytorch
视频选集
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1. Pytorch Tutorial - Setting up a Deep Learning Environment
08:04
2. Complete Pytorch Tensor Tutorial
55:32
3. Pytorch Neural Network example
23:32
4. Pytorch CNN example (Convolutional Neural Network)
10:19
5. Pytorch RNN example (Recurrent Neural Network)
14:20
6. Pytorch Bidirectional LSTM example
06:07
7. How to save and load models in Pytorch
07:02
8. Pytorch Transfer Learning and Fine Tuning Tutorial
09:01
9. How to build custom Datasets for Images in Pytorch
08:18
10. How to build custom Datasets for Text in Pytorch
35:08
11. Pytorch Data Augmentation using Torchvision
09:39
12. Albumentations Tutorial for Data Augmentation
31:28
13. How to deal with Imbalanced Datasets in PyTorch - Weighted Random Sampler
15:25
14. PYTORCH COMMON MISTAKES - How To Save Time 🕒
19:11
15. Pytorch TensorBoard Tutorial
30:16
16. Pytorch LeNet implementation from scratch
09:10
17. Pytorch VGG implementation from scratch
17:28
18. Pytorch GoogLeNet - InceptionNet implementation from scratch
26:00
19. Pytorch ResNet implementation from Scratch
30:24
20. EfficientNet from scratch in Pytorch
38:47
21. Pytorch Image Captioning Tutorial
35:47
22. Pytorch Neural Style Transfer Tutorial
24:37
23. An Introduction to Generative Adversarial Networks (GANs)
12:06
24. Building our first simple GAN
24:23
25. DCGAN implementation from scratch
35:37
26. WGAN implementation from scratch (with gradient penalty)
25:58
27. Pytorch Conditional GAN Tutorial
12:21
28. Pix2Pix implementation from scratch
01:02:28
29. CycleGAN implementation from scratch
58:25
30. ProGAN implementation from scratch
01:29:02
33. Pytorch Text Generator with character level LSTM
28:46
34. Pytorch Torchtext Tutorial 1- Custom Datasets and loading JSON-CSV-TSV files
16:22
35. Pytorch Torchtext Tutorial 2- Built in Datasets with Example
08:48
36. Pytorch Torchtext Tutorial 3- From Textfiles to Dataset
10:51
37. Einsum Is All You Need- NumPy, PyTorch and TensorFlow
16:21
38. Pytorch Seq2Seq Tutorial for Machine Translation
50:54
39. Pytorch Seq2Seq with Attention for Machine Translation
25:18
40. Pytorch Transformers from Scratch (Attention is all you need)
57:09
41. Pytorch Transformers for Machine Translation
34:08
42. PyTorch Image Segmentation Tutorial with U-NET- everything from scratch baby
51:53
43. Introduction to Object Detection in Deep Learning
16:22
45. Non Max Suppression Explained and PyTorch Implementation
13:12
46. Mean Average Precision (mAP) Explained and PyTorch Implementation
27:31
47. YOLOv1 from Scratch
01:43:10
48. YOLOv3 from Scratch
01:51:52
49. PyTorch Quick Tip- Mixed Precision Training (FP16)
03:32
50. PyTorch Quick Tip- How to get a Progress Bar
06:04
51. Pytorch Quick Tip- Reproducible Results and Deterministic Behavior
03:05
52. Pytorch Quick Tip- Calculate Mean and Standard Deviation of Data
05:59
53. Pytorch Quick Tip- Weight Initialization
04:46
54. Pytorch Quick Tip- Using a Learning Rate Scheduler
04:32
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