TensorFlow Tutorial 15 - Customizing Model.Fit

In many scenarios you need to create more custom training than what model.fit supports and what's great is that we can actually modify how a training step is done inside model.fit and increase the flexibility of training models. In this video I show how this can be done and add more flexibility, then in the next video I will show you how to build custom training loops completely from scratch for scenarios where even more flexibility is needed.

❤️ Support the channel ❤️
   / @aladdinpersson  

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/aladdinpe...

GitHub Repository:
https://github.com/aladdinpersson/Mac...

✅ One-Time Donations:
Paypal: https://bit.ly/3buoRYH

▶️ You Can Connect with me on:
Twitter -   / aladdinpersson  
LinkedIn -   / aladdin-persson-a95384153  
Github - https://github.com/aladdinpersson