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Intro to Deep Learning and Computer Vision | Kaggle
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Classroom Contents
Deep Learning
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- 1 Intro to Deep Learning and Computer Vision | Kaggle
- 2 Building Models from Convolutions | Kaggle
- 3 Programming in TensorFlow and Keras | Kaggle
- 4 Transfer Learning | Kaggle
- 5 Data Augmentation | Kaggle
- 6 A Deeper Understanding of Deep Learning | Kaggle
- 7 Deep Learning from Scratch | Kaggle
- 8 Stride Length and Dropout for Better Deep Learning Models | Kaggle
- 9 TPUs, systolic arrays, and bfloat16: accelerate your deep learning | Kaggle
- 10 Learn With Me: Getting Started with Tensor Processing Units (TPUs) | Kaggle
- 11 TPUs: AlphaGo to Speech Recognition | Kaggle
- 12 Getting Curious: What it takes to build a TPU | Kaggle
- 13 TPU Notebook Walkthrough: Introduction to TFRecords | Kaggle
