Multi-layer perceptron. Consider the following neural networ…

Multi-layer perceptron. Consider the following neural network defined in PyTorch.  import torch.nn as nnclass NeuralNetwork(nn.Module):    def __init__(self):        super().__init__()        self.linear_relu_stack = nn.Sequential(            nn.Linear(20, 100),            nn.ReLU(),            nn.Linear(100, 100),            nn.ReLU(),            nn.Linear(100, 3),        )    def forward(self, x):        logits = self.linear_relu_stack(x)        return logits (a) (2 pts) How many learnable layers does the neural network have? Count only layers that contain trainable parameters. (b) (2 pts) How many parameters does the neural network have? You may disregard bias/offset terms.

[FinB] Benji is the behaver. Whenever Heidi uses the can ope…

Benji is the behaver. Whenever Heidi uses the can opener in the kitchen, her dog Benji comes into the kitchen and sits behind her. Benji does this because, in the past, when opened cans in the kitchen, sometimes Chanise opened a can of dog food and gave it to Benji. What is the function-altering effect of the consequence? Heidi gives Benji a can of dog food.

Consider the following snippet from a usability test plan… “…

Consider the following snippet from a usability test plan… “You’re looking to buy a specific book—Atomic Habits by James Clear—for a friend’s birthday. You want it delivered to your home as quickly as possible. You’ve heard of this online bookstore but have never used it before. Starting from the homepage, please find and purchase the book using your credit card.” This is best described as…