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Image Classification with Logistic Regression | Deep Learning With PyTorch | Part 2 of 6
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“Deep Learning with PyTorch: Image Classification with Logistic Regression” is a series of workshops covering various topics like the basics of Deep Learning, building neural networks with PyTorch, CNNs, RNNs, NLP, GANs etc.
This is Part 2 of 5. Topics Covered:
2. Introduction to Deep Learning with PyTorch - 1:25
4. Image Classification using Logistic Regression in PyTorch - 13:50
- Exploring the data 17:14
- Training and Validation Datasets 26:10
- Model 40:30
- Evaluation Metrics and Loss Function 1:02:32
- Optimizer 1:15:55
- Training the model 1:17:48
- Testing with Individual Images 1:35:34
- Saving and Loading the Model 1:41:38
- Commit and Upload the Notebook 1:43:30
- Summary and Further Reading 1:47:14
Resources:
This is Part 2 of 5. Topics Covered:
2. Introduction to Deep Learning with PyTorch - 1:25
4. Image Classification using Logistic Regression in PyTorch - 13:50
- Exploring the data 17:14
- Training and Validation Datasets 26:10
- Model 40:30
- Evaluation Metrics and Loss Function 1:02:32
- Optimizer 1:15:55
- Training the model 1:17:48
- Testing with Individual Images 1:35:34
- Saving and Loading the Model 1:41:38
- Commit and Upload the Notebook 1:43:30
- Summary and Further Reading 1:47:14
Resources:
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