.If someone is confused how we can get better features at higher dimensions. I understood it in this way.Think that there is bad point in 2 dimensions (like in a square or a circle ) , now when we shift the same bad point to 3 dimensions or 4 dimensions .They take the shape of something like a cube or sphere which increases the size of the bad point. Similarly , when extracting features at higher dimensions can yield to better features. I hope it helps :)(03:09:00 - 06:52:08)
TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners Tutorial
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