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As far as i can tell, neural networks have a fixed number of neurons in the input layer 12 you can use cnn on any data, but it's recommended to use cnn only on data that have spatial features (it might still work on data that doesn't have spatial features, see duttaa's comment below). If neural networks are used in a context like nlp, sentences or blocks of text of varying sizes are fed to a

Angela, an it staff member at acme inc., notices that communication with the company’s web server is very slow By default, the entire training set will be stored on the gpu. After investigating, she determines that the cause of the slow response is a computer on the internet sending a very large number of malformed web requests to acme’s web server

What type of attack is described in this scenario

Access attack denial of service (dos) attack. What is your knowledge of rnns and cnns Do you know what an lstm is? Is this due to my dropout layers being disabled during evaluation

There are 50000 samples in the training set I'm using a 20% validation split for my training data (10000:40000) I have 10000 instances in the test set. Introduction to networks course final exam 1

(choose two.) video web file transfer voice peer to peer 2

This means making your model smaller and simpler, possibly by inserting a pooling layer at the front, or reducing the total number of layers From a memory perspective, this isn't likely to produce really large gains though Stream your data in each epoch

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