Fundamentals of Neural Networks - Course Outline

Fundamentals of Neural Networks - Course Outline

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Information Technology (IT), Architecture

University

Hard

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This video tutorial covers three main sections: neural networks, convolutional neural networks (CNNs), and natural language processing (NLP). It begins with an introduction to neural networks, explaining their building blocks and step-by-step procedures. The tutorial then transitions to CNNs, focusing on image data and applications like transfer learning and object detection. Finally, it delves into NLP, introducing recurrent neural networks (RNNs) and concepts such as long short-term memory (LSTM) and recurrent units.

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OPEN ENDED QUESTION

3 mins • 1 pt

What new insight or understanding did you gain from this video?

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