Many machine learning models based on neural networks exhibit scaling laws: their performance scales as power laws with respect to the sizes of the model and training data set. We use large- N field theory methods to solve a model recently proposed by Maloney. Roberts and Sully which provides a simplified setting to study neural scaling laws. Our solution extends the result in this la... https://spencertifieders.shop/product-category/circuit-board-accessories/