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Title: GitHub - PypCoder/Neural-Network-from-Scratch: A feedforward neural network built from scratch using only NumPy. Implements forward/backprop, Adam optimizer, and multiple loss functions, achieves 97.78% accuracy on MNIST without any ML frameworks. · GitHub

Open Graph Title: GitHub - PypCoder/Neural-Network-from-Scratch: A feedforward neural network built from scratch using only NumPy. Implements forward/backprop, Adam optimizer, and multiple loss functions, achieves 97.78% accuracy on MNIST without any ML frameworks.

X Title: GitHub - PypCoder/Neural-Network-from-Scratch: A feedforward neural network built from scratch using only NumPy. Implements forward/backprop, Adam optimizer, and multiple loss functions, achieves 97.78% accuracy on MNIST without any ML frameworks.

Description: A feedforward neural network built from scratch using only NumPy. Implements forward/backprop, Adam optimizer, and multiple loss functions, achieves 97.78% accuracy on MNIST without any ML frameworks. - PypCoder/Neural-Network-from-Scratch

Open Graph Description: A feedforward neural network built from scratch using only NumPy. Implements forward/backprop, Adam optimizer, and multiple loss functions, achieves 97.78% accuracy on MNIST without any ML framewor...

X Description: A feedforward neural network built from scratch using only NumPy. Implements forward/backprop, Adam optimizer, and multiple loss functions, achieves 97.78% accuracy on MNIST without any ML framewor...

Opengraph URL: https://github.com/PypCoder/Neural-Network-from-Scratch

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