# Custom and Distributed Training with Tensorflow
## Week 1 - Differentiation and Gradients
- [Lab: Basic Tensors](https://github.com/y33-j3T/Coursera/blob/master/Custom%20and%20Distributed%20Training%20with%20Tensorflow/Week%201%20-%20Differentiation%20and%20Gradients/C2_W1_Lab_1_basic-tensors.ipynb)
- [Lab: Gradient Tape Basics](https://github.com/y33-j3T/Coursera/blob/master/Custom%20and%20Distributed%20Training%20with%20Tensorflow/Week%201%20-%20Differentiation%20and%20Gradients/C2_W1_Lab_2_gradient-tape-basics.ipynb)
- [Programming Assignment: Basic Tensor Operations](https://github.com/y33-j3T/Coursera/blob/master/Custom%20and%20Distributed%20Training%20with%20Tensorflow/Week%201%20-%20Differentiation%20and%20Gradients/C2W1_Assignment.ipynb)

## Week 2 - Custom Training
- [Lab: Training Basics](https://github.com/y33-j3T/Coursera/blob/master/Custom%20and%20Distributed%20Training%20with%20Tensorflow/Week%202%20-%20Custom%20Training/C2_W2_Lab_1_training-basics.ipynb)
- [Lab: Fashion MNIST using Custom Training Loop](https://github.com/y33-j3T/Coursera/blob/master/Custom%20and%20Distributed%20Training%20with%20Tensorflow/Week%202%20-%20Custom%20Training/C2_W2_Lab_2_training-categorical.ipynb)
- [Programming Assignment: Breast Cancer Prediction](https://github.com/y33-j3T/Coursera/blob/master/Custom%20and%20Distributed%20Training%20with%20Tensorflow/Week%202%20-%20Custom%20Training/C2W2_Assignment.ipynb)

## Week 3 - Graph Mode
- [Lab: AutoGraph Basics](https://github.com/y33-j3T/Coursera/blob/master/Custom%20and%20Distributed%20Training%20with%20Tensorflow/Week%203%20-%20Graph%20Mode/C2_W3_Lab_1_autograph-basics.ipynb)
- [Lab: AutoGraph](https://github.com/y33-j3T/Coursera/blob/master/Custom%20and%20Distributed%20Training%20with%20Tensorflow/Week%203%20-%20Graph%20Mode/C2_W3_Lab_2-graphs-for-complex-code.ipynb)
- [Programming Assignment: Horse or Human?](https://github.com/y33-j3T/Coursera/blob/master/Custom%20and%20Distributed%20Training%20with%20Tensorflow/Week%203%20-%20Graph%20Mode/C2W3_Assignment.ipynb)

## Week 4 - Distributed Training
- [Lab: Mirrored Strategy](https://github.com/y33-j3T/Coursera/blob/master/Custom%20and%20Distributed%20Training%20with%20Tensorflow/Week%204%20-%20Distributed%20Training/C2_W4_Lab_1_basic-mirrored-strategy.ipynb)
- [Lab: Multi GPU Mirrored Strategy](https://github.com/y33-j3T/Coursera/blob/master/Custom%20and%20Distributed%20Training%20with%20Tensorflow/Week%204%20-%20Distributed%20Training/C2_W4_Lab_2_multi-GPU-mirrored-strategy.ipynb)
- [Lab: TPU Strategy](https://github.com/y33-j3T/Coursera/blob/master/Custom%20and%20Distributed%20Training%20with%20Tensorflow/Week%204%20-%20Distributed%20Training/C2_W4_Lab_3_using-TPU-strategy.ipynb)
- [Lab: One Device Strategy](https://github.com/y33-j3T/Coursera/blob/master/Custom%20and%20Distributed%20Training%20with%20Tensorflow/Week%204%20-%20Distributed%20Training/C2_W4_Lab_4_one-device-strategy.ipynb)
- [Programming Assignment: Distributed Strategy](https://github.com/y33-j3T/Coursera/blob/master/Custom%20and%20Distributed%20Training%20with%20Tensorflow/Week%204%20-%20Distributed%20Training/C2W4_Assignment.ipynb)


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Custom and Distributed Training with Tensorflow

Week 1 - Differentiation and Gradients

Week 2 - Custom Training

Week 3 - Graph Mode

Week 4 - Distributed Training

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