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Udemy - PyTorch for Deep Learning with Python Bootcamp (9.2019)

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Title: UdemyGroup: NOGRPSource: Udemy
Info Hash
7122344B391370EED544A16255D146CC5AC3536D
Source
Unverified
Total Size
6.72 GB
Total Files
100
Seeders
1
Leechers
0
Health
1.00
Score
2
Type
Bookware

File List

FileSize
1. Course Overview, Installs, and Setup/1. COURSE OVERVIEW LECTURE - PLEASE DO NOT SKIP!.mp438.84 MB
1. Course Overview, Installs, and Setup/1. COURSE OVERVIEW LECTURE - PLEASE DO NOT SKIP!.vtt10.07 KB
1. Course Overview, Installs, and Setup/1.1 PYTORCH_NOTEBOOKS.zip.zip195.96 MB
1. Course Overview, Installs, and Setup/2. Installation and Environment Setup.mp4115.96 MB
1. Course Overview, Installs, and Setup/2. Installation and Environment Setup.vtt25.88 KB
1. Course Overview, Installs, and Setup/2.1 PYTORCH_NOTEBOOKS.zip.zip195.96 MB
1. Course Overview, Installs, and Setup/2.2 Link for .yml environment file.html127 B
10. Using a GPU with PyTorch and CUDA/1. Why do we need GPUs.mp4102.4 MB
10. Using a GPU with PyTorch and CUDA/1. Why do we need GPUs.vtt17.36 KB
10. Using a GPU with PyTorch and CUDA/1.1 PyTorch on AWS.html92 B
10. Using a GPU with PyTorch and CUDA/1.2 PyTorch Official Install Page.html101 B
10. Using a GPU with PyTorch and CUDA/1.3 NVIDIA CUDA Installation Page.html142 B
10. Using a GPU with PyTorch and CUDA/1.4 PyTorch on Google Cloud Platform.html130 B
10. Using a GPU with PyTorch and CUDA/1.5 PyTorch on Microsoft Azure.html129 B
10. Using a GPU with PyTorch and CUDA/1.6 Google Collab with PyTorch.html115 B
10. Using a GPU with PyTorch and CUDA/1.7 CUDA with PyTorch.html108 B
10. Using a GPU with PyTorch and CUDA/2. Using GPU for PyTorch.mp4114.09 MB
10. Using a GPU with PyTorch and CUDA/2. Using GPU for PyTorch.vtt21.93 KB
11. NLP with PyTorch/1. Introduction to NLP with PyTorch.mp415.98 MB
11. NLP with PyTorch/1. Introduction to NLP with PyTorch.vtt3.38 KB
11. NLP with PyTorch/2. Encoding Text Data.mp4109.42 MB
11. NLP with PyTorch/2. Encoding Text Data.vtt18.82 KB
11. NLP with PyTorch/3. Generating Training Batches.mp496.47 MB
11. NLP with PyTorch/3. Generating Training Batches.vtt16.51 KB
11. NLP with PyTorch/4. Creating the LSTM Model.mp473.58 MB
11. NLP with PyTorch/4. Creating the LSTM Model.vtt13.53 KB
11. NLP with PyTorch/5. Training the LSTM Model.mp481.66 MB
11. NLP with PyTorch/5. Training the LSTM Model.vtt12.63 KB
11. NLP with PyTorch/6. OUR MODEL FOR DOWNLOAD.html588 B
11. NLP with PyTorch/6.1 Google Drive Link for another Model.html143 B
11. NLP with PyTorch/7. Generating Predictions.mp472.59 MB
11. NLP with PyTorch/7. Generating Predictions.vtt11.63 KB
12. BONUS SECTION THANK YOU!/1. BONUS LECTURE.html532 B
2. COURSE OVERVIEW CONFIRMATION CHECK/1. DID YOU WATCH THE COURSE OVERVIEW LECTURE.html157 B
3. Crash Course NumPy/1. Introduction to NumPy.mp43.9 MB
3. Crash Course NumPy/1. Introduction to NumPy.vtt871 B
3. Crash Course NumPy/2. NumPy Arrays.mp460.45 MB
3. Crash Course NumPy/2. NumPy Arrays.vtt13.6 KB
3. Crash Course NumPy/3. NumPy Arrays Part Two.mp454.95 MB
3. Crash Course NumPy/3. NumPy Arrays Part Two.vtt10.43 KB
3. Crash Course NumPy/4. Numpy Index Selection.mp458.91 MB
3. Crash Course NumPy/4. Numpy Index Selection.vtt14.25 KB
3. Crash Course NumPy/5. NumPy Operations.mp440.4 MB
3. Crash Course NumPy/5. NumPy Operations.vtt8.21 KB
3. Crash Course NumPy/6. Numpy Exercises.mp412.32 MB
3. Crash Course NumPy/6. Numpy Exercises.vtt1.87 KB
3. Crash Course NumPy/7. Numpy Exercises - Solutions.mp454.85 MB
3. Crash Course NumPy/7. Numpy Exercises - Solutions.vtt9.33 KB
4. Crash Course Pandas/1. Pandas Overview.mp46.39 MB
4. Crash Course Pandas/1. Pandas Overview.vtt1.69 KB
4. Crash Course Pandas/2. Pandas Series.mp445.11 MB
4. Crash Course Pandas/2. Pandas Series.vtt12.71 KB
4. Crash Course Pandas/3. Pandas DataFrames - Part One.mp487.83 MB
4. Crash Course Pandas/3. Pandas DataFrames - Part One.vtt16.43 KB
4. Crash Course Pandas/4. Pandas DataFrames - Part Two.mp473.08 MB
4. Crash Course Pandas/4. Pandas DataFrames - Part Two.vtt13.46 KB
4. Crash Course Pandas/5. GroupBy Operations.mp428.98 MB
4. Crash Course Pandas/5. GroupBy Operations.vtt7.57 KB
4. Crash Course Pandas/6. Pandas Operations.mp443.8 MB
4. Crash Course Pandas/6. Pandas Operations.vtt11.7 KB
4. Crash Course Pandas/7. Data Input and Output.mp468.3 MB
4. Crash Course Pandas/7. Data Input and Output.vtt13.16 KB
4. Crash Course Pandas/8. Pandas Exercises.mp430.98 MB
4. Crash Course Pandas/8. Pandas Exercises.vtt5.23 KB
4. Crash Course Pandas/9. Pandas Exercises - Solutions.mp463.67 MB
4. Crash Course Pandas/9. Pandas Exercises - Solutions.vtt10.32 KB
5. PyTorch Basics/1. PyTorch Basics Introduction.mp416.78 MB
5. PyTorch Basics/1. PyTorch Basics Introduction.vtt4.17 KB
5. PyTorch Basics/2. Tensor Basics.mp442.53 MB
5. PyTorch Basics/2. Tensor Basics.vtt9.5 KB
5. PyTorch Basics/3. Tensor Basics - Part Two.mp482.51 MB
5. PyTorch Basics/3. Tensor Basics - Part Two.vtt18.52 KB
5. PyTorch Basics/4. Tensor Operations.mp471.33 MB
5. PyTorch Basics/4. Tensor Operations.vtt17.2 KB
5. PyTorch Basics/5. Tensor Operations - Part Two.mp433.96 MB
5. PyTorch Basics/5. Tensor Operations - Part Two.vtt7.8 KB
5. PyTorch Basics/6. PyTorch Basics - Exercise.mp417.37 MB
5. PyTorch Basics/6. PyTorch Basics - Exercise.vtt3.48 KB
5. PyTorch Basics/7. PyTorch Basics - Exercise Solutions.mp435.02 MB
5. PyTorch Basics/7. PyTorch Basics - Exercise Solutions.vtt6.04 KB
6. Machine Learning Concepts Overview/1. What is Machine Learning.mp422.38 MB
6. Machine Learning Concepts Overview/1. What is Machine Learning.vtt5.16 KB
6. Machine Learning Concepts Overview/2. Supervised Learning.mp445.42 MB
6. Machine Learning Concepts Overview/2. Supervised Learning.vtt10.9 KB
6. Machine Learning Concepts Overview/3. Overfitting.mp430.37 MB
6. Machine Learning Concepts Overview/3. Overfitting.vtt10.42 KB
6. Machine Learning Concepts Overview/4. Evaluating Performance - Classification Error Metrics.mp493.83 MB
6. Machine Learning Concepts Overview/4. Evaluating Performance - Classification Error Metrics.vtt21.88 KB
6. Machine Learning Concepts Overview/5. Evaluating Performance - Regression Error Metrics.mp427.92 MB
6. Machine Learning Concepts Overview/5. Evaluating Performance - Regression Error Metrics.vtt7.43 KB
6. Machine Learning Concepts Overview/6. Unsupervised Learning.mp421.76 MB
6. Machine Learning Concepts Overview/6. Unsupervised Learning.vtt6.24 KB
7. ANN - Artificial Neural Networks/1. Introduction to ANN Section.mp48.65 MB
7. ANN - Artificial Neural Networks/1. Introduction to ANN Section.vtt2.27 KB
7. ANN - Artificial Neural Networks/10. Linear Regression with PyTorch - Part Two.mp4149.79 MB
7. ANN - Artificial Neural Networks/10. Linear Regression with PyTorch - Part Two.vtt25.16 KB
7. ANN - Artificial Neural Networks/11. DataSets with PyTorch.mp4109.13 MB
7. ANN - Artificial Neural Networks/11. DataSets with PyTorch.vtt20.25 KB
7. ANN - Artificial Neural Networks/12. Basic Pytorch ANN - Part One.mp460.76 MB
7. ANN - Artificial Neural Networks/12. Basic Pytorch ANN - Part One.vtt14.54 KB

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