#Learning to Learn

This open-source project uses TensorFlow and Sonnet to enhance optimization with learning-to-learn strategies, focusing on command-line tools for efficient problem-solving, including MNIST and CIFAR10 classifications. It supports quadratic functions and employs advanced optimizers such as L2L. The flexible design allows easy integration of new problems and adjustment of parameters like learning rate and epochs, effectively showcasing TensorFlow's optimization capabilities across diverse challenges. Not officially affiliated with Google.