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Fashion) Neural Network from scratch in raw NumPy, benchmarked against PyTorch.\n\n## Using PyTorch\n\n##### 2-Layer MLP\n* 784 Input neurons\n* 512 Hidden neurons\n* 10 Output neurons\n\n#### Using Stochastic Gradient Descent and Cross-Entropy:\n\n##### Training (lr = 0.01):\n\n```console\nEpoch: 0\tCross-Entropy: 0.4144\tAccuracy: 0.8893\nEpoch: 10\tCross-Entropy: 0.1618\tAccuracy: 0.9552\nEpoch: 20\tCross-Entropy: 0.1011\tAccuracy: 0.9722\nEpoch: 30\tCross-Entropy: 0.0714\tAccuracy: 0.9811\nEpoch: 40\tCross-Entropy: 0.0542\tAccuracy: 0.9861\nEpoch: 50\tCross-Entropy: 0.0422\tAccuracy: 0.9901\nEpoch: 60\tCross-Entropy: 0.0346\tAccuracy: 0.9925\nEpoch: 70\tCross-Entropy: 0.0278\tAccuracy: 0.9946\nEpoch: 80\tCross-Entropy: 0.0234\tAccuracy: 0.9956\nEpoch: 90\tCross-Entropy: 0.0194\tAccuracy: 0.9970\n```\n\n##### Testing:\n\n```console\nAccuracy on Testing set: 0.9812\n```\n\n## Using NumPy\n\n##### 2-Layer MLP\n* 784 Input neurons\n* 512 Hidden neurons\n* 10 Output neurons\n\n\n##### Training (lr = 0.095):\n```console\nEpoch: 0\tCross-Entropy: 0.3059\tAccuracy: 0.9133\nEpoch: 10\tCross-Entropy: 0.1696\tAccuracy: 0.9520\nEpoch: 20\tCross-Entropy: 0.1355\tAccuracy: 0.9615\nEpoch: 30\tCross-Entropy: 0.1185\tAccuracy: 0.9666\nEpoch: 40\tCross-Entropy: 0.1089\tAccuracy: 0.9685\nEpoch: 50\tCross-Entropy: 0.0996\tAccuracy: 0.9716\nEpoch: 60\tCross-Entropy: 0.0920\tAccuracy: 0.9743\nEpoch: 70\tCross-Entropy: 0.0884\tAccuracy: 0.9746\nEpoch: 80\tCross-Entropy: 0.0824\tAccuracy: 0.9767\nEpoch: 90\tCross-Entropy: 0.0881\tAccuracy: 0.9727\n```\n\n##### Testing:\n\n```console\nAccuracy on Testing set: 0.9615\n```\n\n## License\n* MNIST Digits: Public domain, created by Yann LeCun and collaborators.\n* Fashion-MNIST: MIT License, created by Zalando Research.","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fraphaelsenn%2Fmnist-numpy","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fraphaelsenn%2Fmnist-numpy","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fraphaelsenn%2Fmnist-numpy/lists"}