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A tweet promoting TensorTonic, a platform that allows users to practice implementing nine common activation functions (Sigmoid, ReLU, Tanh, Softmax, Leaky ReLU, GELU, Swish, ELU, SELU) from scratch, including forward pass and gradient computation.
The article explores the Universal Approximation Theorem in deep learning, analyzing the representation capacity of individual neurons and neural network layers using ReLU activation functions.