In this video we will cover how to build a neural network in TensorFlow 2.0 using the Keras Sequential and Functional API. We also take a look at other details like how we obtain the output features from specific layers and obtaining summaries of the model etc. Resources or prerequisite videos: 1. 3Blue1Brown:    • Neural networks   2. Deep Learning Specialization Course 1 (Probably don't need to watch all):    • Neural Networks and Deep Learning (Co...   2. Deep Learning Specialization Course 2 (Probably don't need to watch all):    • Improving Deep Neural Networks: Hyper...   ❤️ Support the channel ❤️ null Paid Courses I recommend for learning (affiliate links, no extra cost for you): ⭐ Machine Learning Specialization https://bit.ly/3hjTBBt ⭐ Deep Learning Specialization https://bit.ly/3YcUkoI ⭐ TensorFlow Specialization https://bit.ly/3FmEVK1 📘 MLOps Specialization http://bit.ly/3wibaWy 📘 GAN Specialization https://bit.ly/3FmnZDl 📘 NLP Specialization http://bit.ly/3GXoQuP ✨ Free Resources that are great: NLP: https://web.stanford.edu/class/cs224n/ CV: http://cs231n.stanford.edu/ Deployment: https://fullstackdeeplearning.com/ FastAI: https://www.fast.ai/ 💻 My Deep Learning Setup and Recording Setup: https://www.amazon.com/shop/aladdinpersson GitHub Repository: https://github.com/aladdinpersson/Machine-Learning-Collection ✅ One-Time Donations: Paypal: https://bit.ly/3buoRYH ▶️ You Can Connect with me on: Twitter - https://twitter.com/aladdinpersson LinkedIn - https://www.linkedin.com/in/aladdin-persson-a95384153/ Github - https://github.com/aladdinpersson OUTLINE: 0:00 - Introduction 0:40 - Resources for theory 1:06 - Imports 3:13 - Loading Mnist dataset 5:56 - Using Sequential API 14:10 - Using Functional API 17:20 - Extracting specific layer features 19:53 - Suggestions to try out