👋 Welcome to Lecture 9 (Part 2): Implementing Multilayer Perceptron on Google Colab! 🤖
➡️ Check out the entire playlist: https://www.youtube.com/playlist?list=PL6Tv6kBP2K_WijNyXmN9b2HQ9sCn7mVwZ
In this lecture, we'll build upon our understanding of Deep Learning and Neural Networks by implementing a Multilayer Perceptron on Google Colab. You'll learn how to:
- 🧠 Set up the Google Colab environment for Deep Learning
- 🛠️ Use Keras to build a Multilayer Perceptron
- 🤖 Train the Multilayer Perceptron on a dataset
By the end of this lecture, you'll have hands-on experience building and training a Multilayer Perceptron, one of the most widely used types of Neural Networks.
To keep up with the latest updates, feel free to follow me on Twitter: https://twitter.com/deepeshmhatredm
Check out the code and examples from this lecture on my Github:
https://github.com/deepeshdm/ML-DL-Course 🐙
If you have any questions or feedback, please don't hesitate to contact me. I'm always happy to help! 🙌