Shypd.aiThe largest open index of AI toolsnumpy_neural_network is an open-source Coding & Development tool that provides a NumPy implementation of neural networks. It includes backpropagation, various layers, activation functions, and loss functions for learning and experimentation.
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numpy_neural_network is an open-source project that allows users to implement neural networks from scratch using only NumPy. It covers essential components such as backpropagation formula derivation, construction of fully connected layers, convolutional layers, pooling layers, and Flatten layers. The project also includes various activation functions (ReLU, LeakyReLU, PReLU, ELU, SELU) and loss functions (mean squared error, cross-entropy). It provides practical examples for image classification and fine-tuning networks, making it an excellent resource for learning and experimenting with neural network architectures. The repository is continuously updated and offers insights into advanced topics like RNN, LSTM, GRU, and Batch Normalization.
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