Sonnet, a sophisticated library developed by DeepMind, serves as a high-level abstraction layer built atop TensorFlow. It is meticulously designed to streamline the process of constructing complex neural network architectures. Sonnet’s primary objective is to provide researchers and developers with a modular and flexible framework for experimenting with diverse neural network topologies and implementing state-of-the-art … Continue reading Using Sonnet in TensorFlow