How to Code a Neural Network from Scratch

Channel:
Pakistan How Wow
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317
Published on ● Video Link: https://www.youtube.com/watch?v=dYDngmp5XY0


Category:
Guide
Duration: 1:46
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Welcome to our tutorial on "How to Code a Neural Network from Scratch". In this video, we will guide you through the process of building a neural network entirely from scratch using Python, a powerful and versatile programming language.

We will cover the basics of neural networks, including feedforward and backpropagation algorithms, and show you how to implement them in Python. We'll also cover how to preprocess and prepare data for training, as well as how to optimize your neural network's performance.

By the end of this tutorial, you will have the skills and knowledge needed to build your own neural network from scratch and use it to perform tasks such as image recognition, natural language processing, and more. Whether you're a beginner or an experienced data scientist, this tutorial will provide you with the foundation to understand and build neural networks.

So, join us as we explore the exciting world of neural networks and learn how to code your own from scratch with Python. Don't forget to like, comment, and subscribe to our channel for more exciting tutorials!



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Tags:
Neural Network
Deep Learning
Machine Learning
Backpropagation
Python
Artificial Intelligence
Gradient Descent
Activation Functions
Loss Functions
Training Data
Validation Data
Test Data
Mini-batch Gradient Descent
Stochastic Gradient Descent
Dropout
Regularization.