eBooks E-Books Gradient descent optimization – parameters and demo (M-I-T) CNNs – one-dimensional filters (M-I-T) Gradient descent optimization – local optima (M-I-T) Gradient descent optimization – algorithm in one dimension (M-I-T) CNNs – max pooling (M-I-T) CNNs – convolutional neural networks – intro (M-I-T) Gradient descent optimization – algorithm in multiple dimensions (M-I-T) CNNs – convolutional neural network layers (M-I-T) Feature representation strategies for dealing with varied data (M-I-T) CNNs – backprop and gradient descent (M-I-T) Feature representation – transforming through-origin to not-through-origin (M-I-T) Z-scores review (K-A) CNNs – a specific illustrative example filter (M-I-T) Feature representation – polynomial basis (M-I-T) Classification trees – impurity measures – gini index (M-I-T) Normal distribution problem: z-scores (from ck12.org) (K-A) « Previous 1 … 2,348 2,349 2,350 2,351 2,352 … 4,276 Next »
