TensorFlow Models with Functional API, Subclassing and Custom Layers - Full Stack Deep Learning

In this course, we show you how to transform a model built with the sequential api, into one built with the Functional API.
The other method of building Tensorflow models which we shall look at in the course, is model Sub-classing. Here we’ll see how models can be built recursively on each other.
One additional aspect of Tensorflow we’ve added in this tutorial is that of creating Custom Layers.
This video is part of this playlist: • Full Stack Deep Learni...
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[@futurism010]

Amazing tutorial bro.. But you gotta upload more videos on Model building with tensorflow

[@neuralearn]

Thanks @Yod@ :)
Feel free to check out this playlist: ruclips.net/p/PL2L83ZcMO-5O7zNycUkS5WLgr33J3QxMK

[@hassanrevel]

Thanks bro

[@neuralearn]

You're welcome :)

[@WahranRai]

Why did you call func_input and func_output, call them simply input and output : they are tensors not function !