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