Merge branch 'master' of github.com:andersy005/deep-learning-speciali…

…zation-coursera

LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2017 Anderson Banihirwe
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

@@ -1,5 +1,10 @@
-# [Deep Learning Specialization Coursera](https://www.coursera.org/specializations/deep-learning)
+# [Deep Learning Specialization on Coursera](https://www.coursera.org/specializations/deep-learning)
 
+**Master Deep Learning, and Break into AI**
+
+Instructor: [Andrew Ng](http://www.andrewng.org/)
+
+This repo contains all my work for this specialization. All the code base, quiz questions, screenshot, and images, are taken from, unless specified, [Deep Learning Specialization on Coursera](https://www.coursera.org/specializations/deep-learning).
 ## Goals
 - Learn the foundations of Deep Learning
 - Understand how to build neural networks
@@ -8,5 +13,22 @@
 - Work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing.
 - Practice all these ideas in Python and in TensorFlow.
 
+
 ## Courses
-1. [Neural Networks and Deep Learning](https://github.com/andersy005/deep-learning-specialization/tree/master/01-Neural-Networks-and-Deep-Learning)
+- [Course 1: Neural Networks and Deep Learning](https://github.com/andersy005/deep-learning-specialization/tree/master/01-Neural-Networks-and-Deep-Learning)
+  - [Week 1 - Introduction to deep learning
+](https://github.com/andersy005/deep-learning-specialization-coursera/tree/master/01-Neural-Networks-and-Deep-Learning/week1)
+    - [Quiz](https://github.com/andersy005/deep-learning-specialization-coursera/blob/master/01-Neural-Networks-and-Deep-Learning/week1/quiz1.pdf)
+  - [Week 2 - Neural Networks Basics](https://github.com/andersy005/deep-learning-specialization-coursera/tree/master/01-Neural-Networks-and-Deep-Learning/week2)
+    - [Quiz](https://github.com/andersy005/deep-learning-specialization-coursera/blob/master/01-Neural-Networks-and-Deep-Learning/week2/quiz.pdf)
+    - [Notes 1 - Logistic Regression as a Neural Network](https://github.com/andersy005/deep-learning-specialization-coursera/blob/master/01-Neural-Networks-and-Deep-Learning/week2/01-Logistic-Regression-as-a-Neural-Network.ipynb)
+    - [Notes 2 - Vectorization](https://github.com/andersy005/deep-learning-specialization-coursera/blob/master/01-Neural-Networks-and-Deep-Learning/week2/02-vectorization.ipynb)
+    - [Programming Assignment 1 - Python Basics with NumPy](https://github.com/andersy005/deep-learning-specialization-coursera/blob/master/01-Neural-Networks-and-Deep-Learning/week2/Programming-Assignments/Python%2BBasics%2BWith%2BNumpy%2Bv2.ipynb)
+    - [Programming Assignment 2 - Logistic Regression with a Neural Network Mindset](https://github.com/andersy005/deep-learning-specialization-coursera/blob/master/01-Neural-Networks-and-Deep-Learning/week2/Programming-Assignments/Logistic%2BRegression%2Bwith%2Ba%2BNeural%2BNetwork%2Bmindset%2Bv3.ipynb)
+
+  - [Week 3 - Shallow Neural Networks](https://github.com/andersy005/deep-learning-specialization-coursera/tree/master/01-Neural-Networks-and-Deep-Learning/week3)
+    - [Quiz](https://github.com/andersy005/deep-learning-specialization-coursera/blob/master/01-Neural-Networks-and-Deep-Learning/week3/quiz.pdf)
+    - [Notes - Shallow neural networks](https://github.com/andersy005/deep-learning-specialization-coursera/blob/master/01-Neural-Networks-and-Deep-Learning/week3/shallow-neural-network.ipynb)
+    - [Programming Assignment - Planar Data Classification with one hidden layer](https://github.com/andersy005/deep-learning-specialization-coursera/blob/master/01-Neural-Networks-and-Deep-Learning/week3/Programming%20Assignments/Planar%2Bdata%2Bclassification%2Bwith%2Bone%2Bhidden%2Blayer%2Bv2.ipynb)
+
+