How does the polarity of a water molecule enable it to exhib…

How does the polarity of a water molecule enable it to exhibit high surface tension?A. The hydrogen atoms form strong ionic bonds with oxygen atoms in other molecules.B. The non-polar nature of water allows it to spread easily and evaporate faster.C. The partial charges on water molecules lead to hydrogen bonding, which pulls water molecules tightly together at the surface.D. Water molecules have no charge, so surface tension is due to atmospheric pressure alone.

(1)________________(a. pre-training b. fine-tuning, c. hyper…

(1)________________(a. pre-training b. fine-tuning, c. hyperparameter-tuning d. overfitting; 5 points): using a pre-trained language model with a large corpus and does additional training with your dataset for a specific task. It requires relatively low computation and data resources but generally performs well. (2)________________(a. pre-training b. fine-tuning, c. hyperparameter-tuning d. overfitting; 5 points): is training the model with a large corpus from scratch; however, this approach requires high computational resources and big corpus data.

Ref: https://github.com/WegraLee/deep-learning-from-scratch-…

Ref: https://github.com/WegraLee/deep-learning-from-scratch-2 The above figure shows the structure of ____________ model and read line indicates the backpropagation flow. This model has an input, hidden, and output layer. The hidden layer contains a memory cell with three gates: input gate, forget gate, and output gate. By adding gate structures in a memory cell, this model can consider long-term dependencies from long-sequence data.

A convolutional neural network (CNN) is widely used for text…

A convolutional neural network (CNN) is widely used for text and image classification. CNN models contain a convolutional and pooling layer. A convolutional layer have (1)___________ for a convolutional operation as follows: (2)__________ determines the number of pixels by which we move (1)_________ across the input matrix as follows: (3)_________ is adding a boundary around the input matrix to preserve the size of the matrix in the output as follows:   Ref: https://github.com/WegraLee/deep-learning-from-scratch?tab=readme-ov-file Please select the right answer _________________ for (1), (2), and (3)