TensorFlow Tutorial 17 - Complete TensorBoard Guide

In this video we learn how to use various parts of TensorBoard to for example obtain loss plots, accuracy plots, visualize image data, confusion matrices, do hyperparameter search with hparams, use the projector embeddings and also the tensorflow profiler. So far in this tutorial series the main emphasis has been on building models and setting up training, but of course visualizing our models is a very important aspect which is why we focus on it thoroughly in this video. ❤️ Support the channel ❤️ https://www.youtube.com/channel/UCkzW5JSFwvKRjXABI-UTAkQ/join Paid Courses I recommend for learning (affiliate links, no extra cost for you): ⭐ TensorFlow Specialization https://bit.ly/3FmEVK1 ⭐ Machine Learning Specialization https://bit.ly/3hjTBBt ⭐ Deep Learning Specialization https://bit.ly/3YcUkoI 📘 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 and overview 5:52 - Starter Code 8:40 - TensorBoard Callbacks 14:02 - Plots in Scalars Tab 22:00 - Visualizing Images 33:40 - Confusion Matrix 45:24 - Graphs 49:36 - HParams 1:01:12 - Projector 1:15:59 - TensorFlow Profiler 1:22:30 - Ending & Outro