The basics of Gorgonia
Gorgonia is a lower-level library, which means that we need to build the equations and the architecture for models ourselves. This means that there isn't a built-in DNN classifier function that will magically create an entire model with several hidden layers and immediately be ready to apply to your dataset.
Gorgonia facilitates DL by being a library that makes working with multidimensional arrays easy. It does this by providing loads of operators to work with so you can build the underlying mathematical equations that make up layers in a DL model. We can then proceed to use these layers in our model.
Another important feature of Gorgonia is performance. By removing the need to think about how to optimize tensor operations, ...
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