# Neural Networks and Deep Learning
## Week 1 - Introduction to Deep Learning
- No labs / programming assignments

## Week 2 - Neural Network Basics
- [Practice Programming Assignment: Python Basics with numpy (optional)](https://github.com/y33-j3T/Coursera/blob/master/Neural%20Networks%20and%20Deep%20Learning/Week%202/Python%20Basics%20with%20Numpy/Python_Basics_With_Numpy_v3a.ipynb)
- [Programming Assignment: Logistic Regression with a Neural Network mindset](https://github.com/y33-j3T/Coursera/blob/master/Neural%20Networks%20and%20Deep%20Learning/Week%202/Logistic%20Regression%20as%20a%20Neural%20Network/Logistic_Regression_with_a_Neural_Network_mindset_v6a.ipynb)

## Week 3 - Shallow Neural Networks
- [Programming Assignment: Planar data classification with a hidden layer](https://github.com/y33-j3T/Coursera/blob/master/Neural%20Networks%20and%20Deep%20Learning/Week%203/Planar%20data%20classification%20with%20one%20hidden%20layer/Planar_data_classification_with_onehidden_layer_v6c.ipynb)

## Week 4 - Deep Neural Networks
- [Programming Assignment: Building your deep neural network: Step by Step](https://github.com/y33-j3T/Coursera/blob/master/Neural%20Networks%20and%20Deep%20Learning/Week%204/Building%20your%20Deep%20Neural%20Network%20-%20Step%20by%20Step/Building_your_Deep_Neural_Network_Step_by_Step_v8a.ipynb)
- [Programming Assignment: Deep Neural Network Application](https://github.com/y33-j3T/Coursera/blob/master/Neural%20Networks%20and%20Deep%20Learning/Week%204/Deep%20Neural%20Network%20Application%20Image%20Classification/Deep%20Neural%20Network%20-%20Application%20v8.ipynb)


Collaborative Calculation and Data Science

colby

sagemath

Neural Networks and Deep Learning

Week 1 - Introduction to Deep Learning

Week 2 - Neural Network Basics

Week 3 - Shallow Neural Networks

Week 4 - Deep Neural Networks

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