⚡ 100 Days of Deep Learning

Journey

Day	Description	Content
1.	Introduction to Artificial Neural Network	Link
2.	Backpropagation Algorithm	Link
3.	Gradient Descent	Link
4.	Implement Multilayer Perceptron to solve a Regression Problem	Link
5.	Building an Image Classifier using the Sequential API	Link
6.	Building Complex Models Using the Functional API - Part 1	Link
7.	Building Complex Models Using the Functional API - Part 2	Link
8.	Using Subclassing API to Build Dynamic Models	Link
9.	Callbacks (Checkpoints & EarlyStopping) - Part 1	Link
10.	Callbacks (TensorBoard) - Part 2	Link
11.	Create a Deno Module (for Linear Regression)	Link
12.	Work on Deno Module (Neural Network)	Link
14.	Fine-tuning hyperparameters and using gridsearch	Link

Name		Name	Last commit message	Last commit date
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README.md		README.md