In this video we go through the most basic and essential tensor operations that really build the foundation to TensorFlow 2.0 and is important to know before moving on to building neural networks which we will start with in the next tutorial! :) Knowledge in Linear Algebra is very important to have an easier time understanding many tensor operations we go through so I would view as a prerequisite. I think if you don't have that then this series by 3Blue1Brown can be helpful:    • Essence of linear algebra   ❤️ 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 0:48 - Imports 2:21 - Initialization methods for Tensors 8:34 - Casting to different types 9:36 - Mathematical Operations 15:16 - Indexing a Tensor 19:18 - Reshaping a Tensor 20:40 - Ending words