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A neural network for predicting handwritted digits made from scratch in pure mojo

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SimpleNN

A neural network for predicting handwritted digits made from scratch in pure mojo

Implements:

  • Gradient Descent
  • Backpropogation
  • Forward Propogation
  • Sigmoid Activation
  • ReLU Activation
  • Deriv ReLU
  • One-hot Encoding
  • Getting Predictions/Accuracy
  • File Loader
  • Index, Coordinate System w/ Tensors
  • Tensor Transposition
  • Matrix Shuffling (SIMD)
  • Exp Application (SIMD)
  • Summation Functions (SIMD)
  • Adding / Dividing Vectors (SIMD, Parallelization)
  • Matrix Multiplication (SIMD, Parallelization)
  • Data Copying (SIMD)

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A neural network for predicting handwritted digits made from scratch in pure mojo

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