Fundamentals of Neural Networks - Course Outline

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.

What are the building blocks of a neural network?

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How do convolutional neural networks utilize image data?

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What are some applications of transfer learning in neural networks?

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What is the significance of recurrent neural networks in natural language processing?

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Explain the concept of long short-term memory in RNNs.

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