Weizmann Institute of Science Machine Learning Engineer Interview Questions and Answers

CNNs are deep learning models designed for processing structured grids of data, commonly used in image recognition tasks.

• CNNs use convolutional layers to extract features from input data

• Pooling layers are used to reduce spatial dimensions and control overfitting

• Fully connected layers at the end of the network for classification

• Activation functions like ReLU introduce non-linearity

• Example: LeNet-5, AlexNet, VGG, ResNet