PyTorch Essential Training Deep Learning 2024 CourseWikia
Seeders : 1 Leechers : 2
| Torrent Hash : | 75A9FA72AB9F182CC0EC97D2A10E48183F5B52C2 |
| Torrent Added : | at April 25, 2024, 3:37 p.m. in Other |
| Torrent Size : | 159.3 MB |
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PyTorch Essential Training Deep Learning 2024 CourseWikia
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PyTorch Essential Training Deep Learning 2024 CourseWikia
Get Bonus Downloads Here.url -
01 - Deep learning with PyTorch.mp4 -
01 - Deep learning with PyTorch.srt -
02 - What you should know.mp4 -
02 - What you should know.srt -
03 - Tour of CoderPad.mp4 -
03 - Tour of CoderPad.srt -
01 - Introduction to deep learning.mp4 -
01 - Introduction to deep learning.srt -
02 - Why should you use PyTorch.mp4 -
02 - Why should you use PyTorch.srt -
03 - Google Colaboratory basics.mp4 -
03 - Google Colaboratory basics.srt -
01 - Introduction to tensors.mp4 -
01 - Introduction to tensors.srt -
02 - Creating a tensor CPU example.mp4 -
02 - Creating a tensor CPU example.srt -
03 - Creating a tensor GPU example.mp4 -
03 - Creating a tensor GPU example.srt -
04 - Moving tensors between CPUs and GPUs.mp4 -
04 - Moving tensors between CPUs and GPUs.srt -
01 - Different ways to create tensors.mp4 -
01 - Different ways to create tensors.srt -
02 - Tensor attributes.mp4 -
02 - Tensor attributes.srt -
03 - Tensor data types.mp4 -
03 - Tensor data types.srt -
04 - Creating tensors from random samples.mp4 -
04 - Creating tensors from random samples.srt -
05 - Creating tensors like other tensors.mp4 -
05 - Creating tensors like other tensors.srt -
06 - Solution Create tensors.mp4 -
06 - Solution Create tensors.srt -
01 - Tensor operations.mp4 -
01 - Tensor operations.srt -
02 - Mathematical functions.mp4 -
02 - Mathematical functions.srt -
03 - Linear algebra operations.mp4 -
03 - Linear algebra operations.srt -
04 - Automatic differentiation (Autograd).mp4 -
04 - Automatic differentiation (Autograd).srt -
05 - Solution Split tensors to form new tensors.mp4 -
05 - Solution Split tensors to form new tensors.srt -
01 - Introduction to the DL training process.mp4 -
01 - Introduction to the DL training process.srt -
02 - Data preparation.mp4 -
02 - Data preparation.srt -
03 - Data loading.mp4 -
03 - Data loading.srt -
04 - Data transforms.mp4 -
04 - Data transforms.srt -
05 - Data batching.mp4 -
05 - Data batching.srt -
06 - Model development and training.mp4 -
06 - Model development and training.srt -
07 - Validation and testing.mp4 -
07 - Validation and testing.srt -
01 - Next steps.mp4 -
01 - Next steps.srt -
Bonus Resources.txt -
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Get Bonus Downloads Here.url -
181 bytes
01 - Deep learning with PyTorch.mp4 -
2.3 MB
01 - Deep learning with PyTorch.srt -
994 bytes
02 - What you should know.mp4 -
2.7 MB
02 - What you should know.srt -
2.0 KB
03 - Tour of CoderPad.mp4 -
5.9 MB
03 - Tour of CoderPad.srt -
5.0 KB
01 - Introduction to deep learning.mp4 -
7.7 MB
01 - Introduction to deep learning.srt -
6.3 KB
02 - Why should you use PyTorch.mp4 -
3.7 MB
02 - Why should you use PyTorch.srt -
2.9 KB
03 - Google Colaboratory basics.mp4 -
5.4 MB
03 - Google Colaboratory basics.srt -
4.8 KB
01 - Introduction to tensors.mp4 -
6.3 MB
01 - Introduction to tensors.srt -
4.9 KB
02 - Creating a tensor CPU example.mp4 -
2.9 MB
02 - Creating a tensor CPU example.srt -
2.7 KB
03 - Creating a tensor GPU example.mp4 -
2.8 MB
03 - Creating a tensor GPU example.srt -
2.4 KB
04 - Moving tensors between CPUs and GPUs.mp4 -
3.7 MB
04 - Moving tensors between CPUs and GPUs.srt -
2.7 KB
01 - Different ways to create tensors.mp4 -
8.0 MB
01 - Different ways to create tensors.srt -
5.3 KB
02 - Tensor attributes.mp4 -
3.9 MB
02 - Tensor attributes.srt -
3.1 KB
03 - Tensor data types.mp4 -
6.2 MB
03 - Tensor data types.srt -
4.2 KB
04 - Creating tensors from random samples.mp4 -
5.2 MB
04 - Creating tensors from random samples.srt -
3.6 KB
05 - Creating tensors like other tensors.mp4 -
3.9 MB
05 - Creating tensors like other tensors.srt -
3.0 KB
06 - Solution Create tensors.mp4 -
4.3 MB
06 - Solution Create tensors.srt -
2.7 KB
01 - Tensor operations.mp4 -
9.6 MB
01 - Tensor operations.srt -
6.7 KB
02 - Mathematical functions.mp4 -
6.1 MB
02 - Mathematical functions.srt -
5.5 KB
03 - Linear algebra operations.mp4 -
8.1 MB
03 - Linear algebra operations.srt -
5.7 KB
04 - Automatic differentiation (Autograd).mp4 -
10.4 MB
04 - Automatic differentiation (Autograd).srt -
9.1 KB
05 - Solution Split tensors to form new tensors.mp4 -
4.5 MB
05 - Solution Split tensors to form new tensors.srt -
2.7 KB
01 - Introduction to the DL training process.mp4 -
4.6 MB
01 - Introduction to the DL training process.srt -
4.0 KB
02 - Data preparation.mp4 -
2.7 MB
02 - Data preparation.srt -
2.2 KB
03 - Data loading.mp4 -
4.9 MB
03 - Data loading.srt -
3.9 KB
04 - Data transforms.mp4 -
5.4 MB
04 - Data transforms.srt -
4.3 KB
05 - Data batching.mp4 -
6.1 MB
05 - Data batching.srt -
4.5 KB
06 - Model development and training.mp4 -
9.9 MB
06 - Model development and training.srt -
7.4 KB
07 - Validation and testing.mp4 -
10.6 MB
07 - Validation and testing.srt -
6.5 KB
01 - Next steps.mp4 -
1.5 MB
01 - Next steps.srt -
1.4 KB
Bonus Resources.txt -
386 bytes
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