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There is only one type of deep learning neural network.
What are some problems with deep learning you need to keep in mind? (Select all that apply):
Applications of Generative Adversarial Networks (GANs) include (select all that apply):
Match the Deep Learning term to the definition:
A machine learning method that uses neural networks with multiple hidden layers


A neural network in which inputs flow from one side of the network forward to one or more hidden layers and finally to the output


A method used to accelerate the training of neural networks by calculating gradients for the weights used in a specific trained neural network


A method used to facilitate training of deep learning neural network machine learning models by optimizing and finding the best network parameters (including bias and weights) to minimize the model’s cost function and thereby get to the desired results more quickly


Match the machine learning training term to the definition:
An iteration of training a model on the training data set.


Training done in groups with the gradients then calculated and aggregated across those batches.


A quantified measurement over time of how well a particular machine learning model is learning from the data it has been given


What is a Boltzmann Machine?
Which applications are most commonly used with Recurrent Neural Networks (RNN)?
Convolutional Neural Networks (CNNs) have been applied to a number of applications. Select all that apply: