Neural Network in Machine Learning Example | ML in Robotics Course | Lesson 9
🌟 Contents 🌟
💎 (00:00) Introduction
💎 (00:25) Overview of the Lesson
💎 (01:03) Requirements to follow the lesson
💎 (01:49) Implementation of the neural network using Python and TensorFlow for a multi-class classification problem
💎 (33:07) Result of the Implementation
💎 (35:44) Summary of the lesson
In the previous lesson, we understood the building blocks of a neural network, were introduced to different activation functions, understood the difference between shallow and deep neural networks, and became ready to use our software tools to develop a neural network.
In this lesson, we will:
- Work on a multi-class classification problem where a robot is expected to distinguish between dogs and cars and,
- Implement neural networks using Python and TensorFlow
Requirements:
- Python ‘pillow’ library (can be installed usi
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