Learn to create an Artificial Neural Network using weight initialization techniques in this 25-minute tutorial. Explore data set preparation, feature engineering, and scaling methods before diving into initialization strategies. Discover how to use the Chaos API, determine input dimensions, and select appropriate activation functions. Analyze the results to understand the impact of different weight initialization approaches on neural network performance.
Overview
Syllabus
Introduction
Data Set
Independent Dependent Features
Feature Scaling
Initialization
Chaos API
Input Dimensions
Activation Function
Results
Taught by
Krish Naik
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