Deep learning is essential to developing cutting-edge AI, including image recognition, sound and voice recognition, and complex generative learning models - to name a few. Using Python within Anaconda, the process of building these models is easier with updated packages, security concerns mitigated, clean and clear notebooks, and multiple platforms installed at once.

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In this video I show you how to get even more flexibility during training and that is by creating the training loops from scratch. In many ways it's similar to customizing model.fit but here we are removing the model.fit API entirely.

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