Quiz 6

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Who published a weekly supervised training image recognition deep learning project in May 2018?

Facebook

T/F: ANN are capable of solving complex problems and provide detailed explanations of their capabilities.

False

T/F: Compute Unified Device Architecture (CUDA), was designed by ATI.

False

T/F: Deep learning is a separate branch of science from AI.

False

T/F: Deep neural networks are referred to as "deep" because they are primarily used to evaluate significant philosophical issues.

False

T/F: Feedforward models only allow a single feedback connection.

False

T/F: In artificial neurons weight terms are adjustable but biased terms are fixed.

False

GPU hardware is often used for deep neural networks. What does GPU stand for?

Graphics processing unit

T/F: Neural network training is usually done by defining a performance function.

True

T/F: Neurons are processing units that perform a set of predefined mathematical operations on the numerical values coming from the input variables or from the other neuron outputs to create and push out its own outputs.

True

T/F: Structured, human-mediated machine-learning approaches have been working fine for rather abstract and formal tasks.

True

Which type of learning system is represented by the following process: input - simple features - more advanced features - mapping from features - output?

deep learning

What factors are not allowing banks to use more advanced AI based fraud detection systems?

easy access to development capital

In the opening vignette, the results did not include:

elimination of fraud completely at 15% of branches.

Why is pretraining a deep MLP network appropriate?

increases the chances of a global optimum being reached

Real applications of deep learning in general and CNN's in particular highly depend on the availability of:

large, annotated data sets.

Which type of a and a transfer function is described: operation increases in a line based on condition using an operation such as a=n.

linear

Which type of neural network is characterized by allowing feedback connections?

recurrent neural network


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