Deep Neural Network Python from scratch | L layer Model | No Tensorflow

Learn With Jay · Beginner ·🧬 Deep Learning ·3y ago

About this lesson

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural Network with L layers in python from scratch. This video is for those enthusiasts who love to know under-the-hood details behind how things work. You can directly use the TensorFlow model to create a Deep Neural Network, but if you are curious to know how things work in python from scratch, then this video is for you. Understanding Deep Neural Network in Python from scratch helps you learn how deep learning actually works and gives you confidence in understanding Machine Learning. And if you have followed my playlist on Neural Network, then writing this code will be super simple for you. I have tried to explain a very difficult code in a simple manner, so please let me know in the comments section what you feel about this video. ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Timestamps: 0:00 Coming Next 0:30 Intro 3:14 Overview 6:32 Initializing Parameters 14:57 Forward Propagation 23:36 Cost Function 26:22 Backward Propagation 33:10 Update Parameters 34:23 Complete Model 40:36 Improving Model Look 48:44 End ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 📕 Complete Code and Assignment: https://github.com/Coding-Lane/Deep-Neural-Network-from-scratch 📕 Neural Network Playlist: https://www.youtube.com/watch?v=mlk0rddP3L4&list=PLuhqtP7jdD8CftMk831qdE8BlIteSaNzD ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ ✔ CNN Playlist: https://www.youtube.com/watch?v=E5Z7FQp7AQQ&list=PLuhqtP7jdD8CD6rOWy20INGM44kULvrHu&t=0s ✔ RNN Playlist: https://www.youtube.com/watch?v=mlk0rddP3L4&list=PLuhqtP7jdD8CftMk831qdE8BlIteSaNzD&t=0s ✔ Logistic Regression Playlist: https://www.youtube.com/watch?v=U1omz0B9FTw&list=PLuhqtP7jdD8Chy7QIo5U0zzKP8-emLdny&t=0s ✔ Linear Regression Playlist: https://www.youtube.com/watch?v=nwD5U2WxTdk&list=PLuhqtP7jdD8AFocJuxC6_Zz0HepAWL9cF&t=0s ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ If you want to ride on the Lane of Machine Learning, then Subscribe ▶ to my channel

Original Description

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural Network with L layers in python from scratch. This video is for those enthusiasts who love to know under-the-hood details behind how things work. You can directly use the TensorFlow model to create a Deep Neural Network, but if you are curious to know how things work in python from scratch, then this video is for you. Understanding Deep Neural Network in Python from scratch helps you learn how deep learning actually works and gives you confidence in understanding Machine Learning. And if you have followed my playlist on Neural Network, then writing this code will be super simple for you. I have tried to explain a very difficult code in a simple manner, so please let me know in the comments section what you feel about this video. ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Timestamps: 0:00 Coming Next 0:30 Intro 3:14 Overview 6:32 Initializing Parameters 14:57 Forward Propagation 23:36 Cost Function 26:22 Backward Propagation 33:10 Update Parameters 34:23 Complete Model 40:36 Improving Model Look 48:44 End ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 📕 Complete Code and Assignment: https://github.com/Coding-Lane/Deep-Neural-Network-from-scratch 📕 Neural Network Playlist: https://www.youtube.com/watch?v=mlk0rddP3L4&list=PLuhqtP7jdD8CftMk831qdE8BlIteSaNzD ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ ✔ CNN Playlist: https://www.youtube.com/watch?v=E5Z7FQp7AQQ&list=PLuhqtP7jdD8CD6rOWy20INGM44kULvrHu&t=0s ✔ RNN Playlist: https://www.youtube.com/watch?v=mlk0rddP3L4&list=PLuhqtP7jdD8CftMk831qdE8BlIteSaNzD&t=0s ✔ Logistic Regression Playlist: https://www.youtube.com/watch?v=U1omz0B9FTw&list=PLuhqtP7jdD8Chy7QIo5U0zzKP8-emLdny&t=0s ✔ Linear Regression Playlist: https://www.youtube.com/watch?v=nwD5U2WxTdk&list=PLuhqtP7jdD8AFocJuxC6_Zz0HepAWL9cF&t=0s ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ If you want to ride on the Lane of Machine Learning, then Subscribe ▶ to my channel
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Chapters (11)

Coming Next
0:30 Intro
3:14 Overview
6:32 Initializing Parameters
14:57 Forward Propagation
23:36 Cost Function
26:22 Backward Propagation
33:10 Update Parameters
34:23 Complete Model
40:36 Improving Model Look
48:44 End
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