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My notes / works on deep learning from Coursera
| Date | Stars |
|---|---|
| 2026-07-24 | 473 |
| 2026-07-25 | 474 |
| 2026-07-28 | 474 |
| 2026-07-30 | 474 |
| 2026-07-31 | 474 |
| 2026-08-06 | 474 |
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# Coursera My notes / works from Coursera courses. ## Contents - [Introduction](#Introduction) - [Courses](#Courses) - [Contributing](#Contributing) - [License](#License) ## Introduction This repository contains my solutions for labs and programming assignments on Coursera courses. Certain resources required by the codes may be lacking due to limitations on downloading course materials from Coursera and uploading them to GitHub. The lacking resources are mostly datasets, pre-trained models or certain weight matrices. ## Courses ### TensorFlow: Advanced Techniques (Specialization) ### 1. [Custom Models, Layers, and Loss Functions with TensorFlow](https://github.com/y33-j3T/Coursera/tree/master/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow) <details> <summary>Details</summary> #### Week 1 - Functional APIs - [Lab: Functional API Practice](https://github.com/y33-j3T/Coursera/blob/master/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%201%20-%20Functional%20APIs/C1_W1_Lab_1_functional-practice.ipynb) - [Lab: Multi-output](https://github.com/y33-j3T/Coursera/blob/master/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%201%20-%20Functional%20APIs/C1_W1_Lab_2_multi-output.ipynb) - [Lab: Siamese network](https://github.com/y33-j3T/Coursera/blob/master/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%201%20-%20Functional%20APIs/C1_W1_Lab_3_siamese-network.ipynb) - [Programming Assignment: Multiple Output Models using Keras Functional API](https://github.com/y33-j3T/Coursera/blob/master/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%201%20-%20Functional%20APIs/C1W1_Assignment.ipynb) #### Week 2 - Custom Loss Functions - [Lab: Huber Loss lab](https://github.com/y33-j3T/Coursera/blob/master/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%202%20-%20Custom%20Loss%20Functions/C1_W2_Lab_1_huber-loss.ipynb) - [Lab: Huber Loss object](https://github.com/y33-j3T/Coursera/blob/master/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%202%20-%20Custom%20Loss%20Functions/C1_W2_Lab_2_huber-object-loss.ipynb) - [Lab: Contrastive loss in the siamese network](https://github.com/y33-j3T/Coursera/blob/master/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%201%20-%20Functional%20APIs/C1_W1_Lab_3_siamese-network.ipynb) (same as week 1's siamese network) - [Programming Assignment: Creating a custom loss function](https://github.com/y33-j3T/Coursera/blob/master/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%202%20-%20Custom%20Loss%20Functions/C1W2_Assignment.ipynb) #### Week 3 - Custom Layers - [Lab: Lambda layer](https://github.com/y33-j3T/Coursera/blob/master/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%203%20-%20Custom%20Layers/C1_W3_Lab_1_lambda-layer.ipynb) - [Lab: Custom dense layer](https://github.com/y33-j3T/Coursera/blob/master/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%203%20-%20Custom%20Layers/C1_W3_Lab_2_custom-dense-layer.ipynb) - [Lab: Activation in a custom layer](https://github.com/y33-j3T/Coursera/blob/master/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%203%20-%20Custom%20Layers/C1_W3_Lab_3_custom-layer-activation.ipynb) - [Programming Assignment: Implement a Quadratic Layer](https://github.com/y33-j3T/Coursera/blob/master/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%203%20-%20Custom%20Layers/C1W3_Assignment.ipynb) #### Week 4 - Custom Models - [Lab: Build a basic model](https://github.com/y33-j3T/Coursera/blob/master/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%204%20-%20Custom%20Models/C1_W4_Lab_1_basic-model.ipynb) - [Lab: Build a
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