Data Science, Supervised Learning, Ml So Good.
Aggregated information Furthermore, training by gradient descent would give you results that are very close to the theoretical numbers stated. If you want to, you can build a simple neural network with 200 samples, each of which is represented by a tensor x of shape (200,1), where x[:100,] = 0 and