Deeply AI: AI, ChatGPT, Robotics, Data Science on Instagram: "The softmax function in neural networks creates a fascinating landscape of probability surfaces, where each class gets its own “sheet” floating in high-dimensional space. Imagine these sheets as flexible membranes, each representing how likely an input belongs to a particular class. At every point in the input space, the softmax ensures only one surface can claim the highest probability, like sheets stacked on top of each other but ne

machine learning please write down the whole derivation process to obtain the gradient for multiclass classification with softmax 50232

Logistic Regression in Machine Learning - GeeksforGeeks