- CNN: convolutional neural net: replace linear layers with convolutions
- GAN: generator and discriminator training in tandem
- SGD: stochastic gradient descent
- Supervised: training data is labeled (MNIST 0-9 digit labels)
- Unsupervised: training data is unlabeled (DCGAN bedrooms are just bedrooms)
- Parameters: learned weights and biases within NN layers
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function main() { | |
for (const t of testCases) { | |
console.log(`Test case: ${t.desc}`); | |
console.log(`${test(t) ? "PASS" : "FAIL"}`); | |
} | |
} | |
/** | |
* Ideas for domain extension | |
* 1. Taylor Series |