Transfer Learning I: Building a CIFAR-10 Classifier
A two-phase MobileNetV2 transfer-learning experiment that reached 91.78% accuracy on a 10,000-image CIFAR-10 evaluation.
Tensorflow
Iterating ML models using Weights & Biases
Using Weights & Biases to track experiments and systematically improve a noisy regression model.