Machine Learning and Deep Learning with Srinivas

Tensor : It is a mathematical object and  can be a number, vector, matrix, or an n-dimensional array. Padding : Increase the image size shape by adding the given  amount of pixels when it is being processed by the kernel of a CNN Stride : The value determines the kernel's jumping over how many pixels while moving the input. Max - Pooling : Decrease the height and width of the output tensor from each convolution layer by replacing the max of the block. Use of DataLoader : Split the dataset into batches of data of given size and also provides the utilities like shuffling, random sampling while forming a batch. Use of Validation set : Helps in evaluating the model during training i.e adjusting hyperparameters and pick the best version of the model. By this, we can also identify the occurrence of overfitting. Can accuracy be a loss function for a classification problem? No. The accuracy is not a differential function so we cant compute the gradients as there is no mathematical for...