Machine Learning, Probability Theory, Artificial Intelligence, Deep Learning, Padhai.
represents the input image which could be of size say 30 X 30, so we have 900 values in x, and corresponding we have 900 weights and then bias terms; using all of this we compute the predicted output. Suppose it gives a value of 0.7. Now again, we can think of this as a probability distribution, it