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Lecture 9 (Part 2) : Implementing Multilayer Perceptron on Google Colab in Python
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👋 Welcome to Lecture 9 (Part 2): Implementing Multilayer Perceptron on Google Colab! 🤖
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.
Check out the code and examples from this lecture on my Github:
If you have any questions or feedback, please don't hesitate to contact me. I'm always happy to help! 🙌
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.
Check out the code and examples from this lecture on my Github:
If you have any questions or feedback, please don't hesitate to contact me. I'm always happy to help! 🙌
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