GitHub / dpb44 / Exploring-the-Intuition-of-Neural-Networks-on-a-Classification-Problem-Using-Only-NumPy
Implementing a softmax-based neural network from scratch using NumPy to classify the Iris dataset, leveraging vectorization, gradient descent, and decision boundary visualization.
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Language: Jupyter Notebook
Size: 234 KB
Dependencies parsed at: Pending
Created at: 4 months ago
Updated at: 4 months ago
Pushed at: 4 months ago
Last synced at: 2 months ago
Topics: deep-learning, neural-network, numpy, softmax-classifier