A neural network model has 1 hidden layer with 3 nodes and 20 input variables. Its accuracy is 48% on the training data. How can we manipulate the neural network model's parameters to improve the its performance next? Why?

what is pooling in convolutional neural networks?

The figure below shows a fully connected neural network, with two hidden layers. a. What are the dimensions (ie. the size of the matrix, nxm) of the weights matrix (W) for the node highlighted in red? illustrate your answer. b. Answer the same question for the node highlighted in blue. X₂ X3 X4 X₂

What are the fundamental principles and techniques used in the field of machine learning for training and optimizing neural networks, and how do they contribute to the model's ability to generalize and make accurate predictions on unseen data?

Provide an overview of how recurrent and non-recurrent neural network processing differ.