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Title: GitHub - charlielin99/BasicNeuralNet: Neural Network built from scratch with matrix backpropagation. Contains the Tanh, Sigmoid, and ReLU activation functions. Implemented the cross-entropy loss function to vastly improve learning rate. · GitHub

Open Graph Title: GitHub - charlielin99/BasicNeuralNet: Neural Network built from scratch with matrix backpropagation. Contains the Tanh, Sigmoid, and ReLU activation functions. Implemented the cross-entropy loss function to vastly improve learning rate.

X Title: GitHub - charlielin99/BasicNeuralNet: Neural Network built from scratch with matrix backpropagation. Contains the Tanh, Sigmoid, and ReLU activation functions. Implemented the cross-entropy loss function to vastly improve learning rate.

Description: Neural Network built from scratch with matrix backpropagation. Contains the Tanh, Sigmoid, and ReLU activation functions. Implemented the cross-entropy loss function to vastly improve learning rate. - charlielin99/BasicNeuralNet

Open Graph Description: Neural Network built from scratch with matrix backpropagation. Contains the Tanh, Sigmoid, and ReLU activation functions. Implemented the cross-entropy loss function to vastly improve learning rate...

X Description: Neural Network built from scratch with matrix backpropagation. Contains the Tanh, Sigmoid, and ReLU activation functions. Implemented the cross-entropy loss function to vastly improve learning rate...

Opengraph URL: https://github.com/charlielin99/BasicNeuralNet

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og:image:alt	Neural Network built from scratch with matrix backpropagation. Contains the Tanh, Sigmoid, and ReLU activation functions. Implemented the cross-entropy loss function to vastly improve learning rate...
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