Exam 6: Deep Learning and Cognitive Computing

Machine learning is a subset of ________.

Which type of a and a transfer function is described: operation increases in a line based on condition, but only after a minimum is met using an operation such as a=n if n>0, or a=0 if n<0.

Large ________ have greatly compensated for the lack of intimate knowledge and reduced the level of skill needed for implementing deep neural networks.

LSTM networks are typically not used for what type of data?

Create a diagram that describes how deep learning is aligned with representation learning, machine learning and artificial intelligence.

Feedforward models only allow a single feedback connection.

Which of the following does not describe a deep feedforward network?

Human thinking and understanding to a great extent relies on ________.

RNN basically models a dynamic system.

________ has driven many deep learning-based text mining projects in a wide range of contexts.

The growth in the use of deep neural networks has been spurred by advancements in GPU hardware technology.

Deep learning is a separate branch of science from AI.

Cognitive computing is often used interchangeably with ________, the umbrella term used for technologies that rely on data and scientific methods/computations to make (or help/support in making) decisions.

Which deep learning framework adds support to the LuaJIT library?

The initial idea for deep learning began in 2013.

Why is pretraining a deep MLP network appropriate?

________ uses deep learning artificial neural network algorithms (along with other AI techniques) to deliver information about the images captured by users from their nearby objects.

Describe the nine steps in the development process for an ANN application.

As it is being practiced today, ________ seems to be nothing but an extension of neural networks with the idea that deep learning is able to deal with more complicated tasks with a higher level of sophistication.

Define the term sensitivity analysis as it relates to ANNs.