Project on Deep Learning – Artificial Neural Network explores how machines learn through neural networks, analysing data patterns, improving predictions, and building intelligent models used in image recognition, automation, and advanced AI solutions.
| Section 01: Introduction | |||
| Introduction of Project | 00:03:00 | ||
| Section 02: ANN Installation | |||
| Setup Environment for ANN | 00:11:00 | ||
| ANN Installation | 00:09:00 | ||
| Section 03: Data Preprocessing | |||
| Import Libraries and Data Preprocessing | 00:11:00 | ||
| Data Preprocessing | 00:07:00 | ||
| Data Preprocessing Continue | 00:10:00 | ||
| Section 04: Data Encoding | |||
| Data Exploration | 00:10:00 | ||
| Encoding | 00:07:00 | ||
| Encoding Continue | 00:06:00 | ||
| Preparation of Dataset for Training | 00:04:00 | ||
| Section 05: Steps to Build ANN | |||
| Steps to Build ANN Part 1 | 00:06:00 | ||
| Steps to Build ANN Part 2 | 00:06:00 | ||
| Steps to Build ANN Part 3 | 00:06:00 | ||
| Steps to Build ANN Part 4 | 00:09:00 | ||
| Section 06: Predictions and Imbalance-Learn | |||
| Predictions | 00:11:00 | ||
| Predictions Continue | 00:08:00 | ||
| Resampling Data with Imbalance-Learn | 00:09:00 | ||
| Resampling Data with Imbalance-Learn Continue | 00:08:00 | ||
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| Order Your Certificate Now | 00:00:00 | ||