About
This repository is a related to all about Deep Learning - an A-Z guide to the world of Deep Learning. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python)
Contribution: We would love your help in making this repository even better! if you have any suggestions for improvement in any repository content, feel free to open an issue or submit a repository contribution request.
Together, let's make this the best Deep learning hub repository! 🚀
https://coursesteach.com/
Tutorial | Video | Code |
---|---|---|
🌐1-Understanding Basic Neural Networks | 1-2-3 | Content 3 |
🌐2-Supervised Learning with Neural Networks | 1 | Content 6 |
🌐3-Exploring the Different Types of Artificial Neural Networks | --- | --- |
🌐4- Why is Deep Learning taking off? | 1 | --- |
🌐5-Best Free Resources to Learn Deep learning (DL) | --- | --- |
Tutorial | Video | Code |
---|---|---|
🌐1-Vectorization | 1 | |
🌐2-More Vectorization Examples | 1 |
##Alogrithems - DL0101EN-3-1-Regression-with-Keras-py-v1.0.ipynb - DL0101EN-3-2-Classification-with-Keras-py-v1.0.ipynb - Keras - Tutorial - Happy House v1.ipynb - Keras_for_Beginners_Implementing_a_Convolutional_Neural_Network - Keras_for_Beginners_Building_Your_First_Neural_Network.ipynb