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~Get Your Files Here !/4. Working with datasets/1. Downloading a built-in dataset.mp4
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~Get Your Files Here !/4. Working with datasets/5. Image augmentation fundamentals.mp4
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~Get Your Files Here !/4. Working with datasets/6. Image augmentation in PyTorch.mp4
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~Get Your Files Here !/4. Working with datasets/6. Image augmentation in PyTorch.srt
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~Get Your Files Here !/5. Recognizing handwritten digits/1. Downloading the dataset.mp4
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~Get Your Files Here !/5. Recognizing handwritten digits/1. Downloading the dataset.srt
5.53KB
~Get Your Files Here !/5. Recognizing handwritten digits/2. Understanding the dataset.mp4
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~Get Your Files Here !/5. Recognizing handwritten digits/2. Understanding the dataset.srt
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~Get Your Files Here !/5. Recognizing handwritten digits/3. Implementing a starting solution.mp4
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~Get Your Files Here !/5. Recognizing handwritten digits/3. Implementing a starting solution.srt
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~Get Your Files Here !/5. Recognizing handwritten digits/4. Training and evaluating.mp4
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~Get Your Files Here !/5. Recognizing handwritten digits/4. Training and evaluating.srt
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~Get Your Files Here !/5. Recognizing handwritten digits/5. Choosing the size of input and output layers.mp4
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~Get Your Files Here !/5. Recognizing handwritten digits/5. Choosing the size of input and output layers.srt
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~Get Your Files Here !/5. Recognizing handwritten digits/6. Choosing the size of hidden layers.mp4
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~Get Your Files Here !/5. Recognizing handwritten digits/6. Choosing the size of hidden layers.srt
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~Get Your Files Here !/5. Recognizing handwritten digits/7. Loss functions.mp4
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~Get Your Files Here !/5. Recognizing handwritten digits/7. Loss functions.srt
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~Get Your Files Here !/5. Recognizing handwritten digits/8. Activation functions and weight initialization.mp4
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~Get Your Files Here !/5. Recognizing handwritten digits/8. Activation functions and weight initialization.srt
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~Get Your Files Here !/5. Recognizing handwritten digits/9. Optimizers.mp4
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~Get Your Files Here !/5. Recognizing handwritten digits/9. Optimizers.srt
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~Get Your Files Here !/6. Transfer learning for object recognition/1. Downloading the dataset.mp4
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~Get Your Files Here !/6. Transfer learning for object recognition/1. Downloading the dataset.srt
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~Get Your Files Here !/6. Transfer learning for object recognition/2. Understanding the dataset.mp4
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~Get Your Files Here !/6. Transfer learning for object recognition/2. Understanding the dataset.srt
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~Get Your Files Here !/6. Transfer learning for object recognition/3. What is transfer learning.mp4
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~Get Your Files Here !/6. Transfer learning for object recognition/3. What is transfer learning.srt
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~Get Your Files Here !/6. Transfer learning for object recognition/4. The transfer learning workflow.mp4
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~Get Your Files Here !/6. Transfer learning for object recognition/4. The transfer learning workflow.srt
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~Get Your Files Here !/6. Transfer learning for object recognition/5. Training and evaluating.mp4
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~Get Your Files Here !/6. Transfer learning for object recognition/5. Training and evaluating.srt
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~Get Your Files Here !/6. Transfer learning for object recognition/6. Pretrained models for transfer learning.mp4
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~Get Your Files Here !/6. Transfer learning for object recognition/6. Pretrained models for transfer learning.srt
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~Get Your Files Here !/7. Recognizing fashion items/1. Downloading the dataset.mp4
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~Get Your Files Here !/7. Recognizing fashion items/1. Downloading the dataset.srt
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~Get Your Files Here !/7. Recognizing fashion items/2. Understanding the dataset.mp4
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~Get Your Files Here !/7. Recognizing fashion items/2. Understanding the dataset.srt
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~Get Your Files Here !/7. Recognizing fashion items/3. Convolutional network fundamentals.mp4
87.75MB
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~Get Your Files Here !/7. Recognizing fashion items/3. Convolutional network fundamentals.srt
11KB
~Get Your Files Here !/7. Recognizing fashion items/4. Implementation in PyTorch.mp4
48.8MB
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~Get Your Files Here !/7. Recognizing fashion items/4. Implementation in PyTorch.srt
9.64KB
~Get Your Files Here !/7. Recognizing fashion items/5. Residual network fundamentals.mp4
57.14MB
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~Get Your Files Here !/7. Recognizing fashion items/5. Residual network fundamentals.srt
7.55KB
~Get Your Files Here !/7. Recognizing fashion items/6. Residual blocks in convolutional networks.mp4
39.23MB
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~Get Your Files Here !/7. Recognizing fashion items/6. Residual blocks in convolutional networks.srt
6.58KB
~Get Your Files Here !/7. Recognizing fashion items/7. Implementation in PyTorch.mp4
42.76MB
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~Get Your Files Here !/7. Recognizing fashion items/7. Implementation in PyTorch.srt
7.05KB
~Get Your Files Here !/8. Deep learning best practices/1. General ensembling in machine learning.mp4
69.64MB
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~Get Your Files Here !/8. Deep learning best practices/1. General ensembling in machine learning.srt
8.72KB
~Get Your Files Here !/8. Deep learning best practices/2. Ensembling in deep learning.mp4
65.85MB
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~Get Your Files Here !/8. Deep learning best practices/2. Ensembling in deep learning.srt
10.3KB
~Get Your Files Here !/8. Deep learning best practices/3. Data versioning.mp4
45.45MB
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~Get Your Files Here !/8. Deep learning best practices/3. Data versioning.srt
6.76KB
~Get Your Files Here !/8. Deep learning best practices/4. Reproducibility.mp4
28.31MB
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~Get Your Files Here !/8. Deep learning best practices/4. Reproducibility.srt
4.42KB
~Get Your Files Here !/8. Deep learning best practices/5. When not to use deep learning.mp4
66.34MB
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~Get Your Files Here !/8. Deep learning best practices/5. When not to use deep learning.srt
8.78KB
~Get Your Files Here !/Bonus Resources.txt
386B