100 Days of Deep Learning - Keras Functional Model | How to build non-linear Neural Networks?

The Keras functional API is a way to create models that are more flexible than the Sequential API. The functional API can handle models with non-linear topology, shared layers, and even multiple inputs or outputs. The main idea is that a deep learning model is usually a directed acyclic graph (DAG) of layers. So the functional API is a way to build graphs of layers. Notes: https://learnwith.campusx.in/s/store/courses/YouTube%20Notes Codes: https://colab.research.google.com/drive/1uCHf6hoLR1a-46RznVjqnhVZNechF0fz?usp=sharing https://colab.research.google.com/drive/1pKfnYBal9HhuwRADU0FrWaVJ11_llk8-?usp=sharing https://colab.research.google.com/drive/1B2azaSX9g55olY473c7WAMf3E5-717Ge?usp=sharing Dataset Link: https://www.kaggle.com/datasets/jangedoo/utkface-new Blog: https://machinelearningmastery.com/keras-functional-api-deep-learning/ ============================ Do you want to learn from me? Check my affordable mentorship program at : https://learnwith.campusx.in ============================ 📱 Grow with us: CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official CampusX on Instagram for daily tips: https://www.instagram.com/campusx.official My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789 Discord: https://discord.gg/PsWu8R87Z8 👍If you find this video helpful, consider giving it a thumbs up and subscribing for more educational videos on data science! 💭Share your thoughts, experiences, or questions in the comments below. I love hearing from you! ⌚Time Stamps⌚ 00:00 - Intro 00:48 - The Problem with Sequential Model 07:35 - A Simple Example 09:01 - Code Implementation 15:29 - Complex Examples 17:56 - Multi Output Model 24:35 - Machine Learning Mastery Blog Post