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Neural Network on Iris Dataset Training by Randy Orton is a document available to read on EtoBox.
What is Neural Network on Iris Dataset Training about?
The assignment involves implementing a neural network using the Iris dataset with a manual train-test split, avoiding built-in functions. The neural network should consist of an input layer with 4 features, two hidden layers with 64 nodes each using ReLU activation, and an output layer with 3 nodes using Softmax activation. The training configuration includes using CrossEntropyLoss, an optimizer of choice, and training for 100 epochs, followed by evaluating the model
- Author
- Randy Orton
- Language
- EN