Recurrent Neural Networks – Background Recurrent Neural Networks (RNNs) have been widely used for sequence modeling problems in natural language processing (NLP) due to their ability to process sequential data one element at a time. In particular, Long Short-Term Memory (LSTM) and Gated Recurrent Neural Network (GRU) variants of RNNs have been shown to be […]
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A Convolutional Neural Network (CNN) is a type of deep neural network that is commonly used in computer vision tasks such as image classification, object detection, and segmentation. CNNs are inspired by the way the human brain processes visual information and are designed to automatically learn hierarchical representations of features from raw input data. The
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The term “Artificial Neural Network” is derived from Biological neural networks that develop the structure of a human brain. Similar to the human brain that has neurons interconnected to one another, artificial neural networks also have neurons that are interconnected to one another in various layers of the networks. The basic unit of computation in
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The term Machine Learning was coined by Arthur Samuel in 1959, an American pioneer in the field of computer gaming and artificial intelligence, and stated that “it gives computers the ability to learn without being explicitly programmed”. Machine learning is a subfield of artificial intelligence (AI). The goal of machine learning generally is to understand
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