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forward-propagation

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zohaibterminator / machine-learning-specialization

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Github repo for ML Specialization course on Coursera. Contains notes and practice python notebooks.

python tensorflow linear-regression keras jupyter-notebook regression hyperparameters neural-networks classification logistic-regression regularization gradient-descent vectorization backpropagation loss-functions feature-scaling supervised-machine-learning forward-propagation sigmoid-activation relu-activation
  • Updated Jul 23, 2024
  • Jupyter Notebook

aadityasikder / Neural-Network-from-Scratch-

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This notebook demonstrates a neural network implementation using NumPy, without TensorFlow or PyTorch. Trained on the MNIST dataset, it features an architecture with input layer (784 neurons), two hidden layers (132 and 40 neurons), and an output layer (10 neurons) with sigmoid activation.

training neural-network numpy evaluation mnist-dataset backward-propagation forward-propagation neural-networks-from-scratch
  • Updated Mar 15, 2024
  • Jupyter Notebook

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