📚 10_Days_of_Deep_Learning

A repository that contains deep learning code and neural network application.
Dedicated for someone who wants to learn about deep learning and neural network.

What you could expect from this repository :

• Predictions pipeline.
• Examples of neural network.
• Example of time series prediction with LSTM.
• Example of natural language processing. (in the future)
• Example of predicting numbers with neural networks.
• Example of image classification with neural networks.
• Advanced algorithm such as Mask R-CNN and YOLO. (in the future)

What you should not expect from this repository :

• Data cleaning.
• Basic regression algorithm.
• Free voucher at home depot.

🥳 One step closer on understanding deep learning.
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Day 1, Hello World of Neural Network

In day 1, you will create a model that only have 1 layer of neural network with 1 neuron, you will also predict a number with a model that you have created. Start your journey by clicking this link.

Day 2, Activation Function

In day 2, types of activation functions will be introduced. Activation function is to create output by the weights of each neuron. Start here

Day 3, Learning Rate and Gradient Descent

In day 3, the process of learning and effects of learning rate value would be explained using dummy data and graphs. Start here

Day 4, Simple Workflow for Using Neural Network

In day 4, it's just a simple guideline on how to use neural network. Start here

Day 5, Using Neural Network for Churn Classification

In day 5, you will predict whether a customers will stop using the bank product or not with a fictional bank data.
Start here

Day 6, Convolutional Neural Network

In day 6, you will learn about what is convolutional neural network that is oftenly used to classify images, and how does it works. Start here

Day 7, Cat and Dog Classification with Neural Network

In day 7, you will get a hands on how to classify images with CNN from the methods that you have learned in previous code. Start here

day 8, Recurrent Neural Network (RNN)

In day 8, you can learn about recurrent neural network, a neural network that can also store value from previous data. Start here

day 9. Long Short Term Memory (LSTM) Algorithm

In day 9, you can learn more about LSTM, honestly the link is also as same as previous day, but here is an animation of LSTM algorithm. Start here

day 10, Stock Market Prediction with LSTM

In day 10, you will predict the price of stock market using LSTM, but be careful, every company in stock market have different data therefore you can't use one data for another company. Start here