- Single Hidden Layer:
- Implementation of a single hidden layer neural network with little to no optimization algorithms. Mainly used for reference and clarification of the essentials.
- Deep:
- Implementation of a deep neural network with basic optimization algorithms such as mini batch descent RMSProp, & Adam. May implement batch normalization & softmax in the future.
-
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Numpy Implementations of Neural Network Methods and Designs
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