Curse of Dimensionality refers to a set of problems that arise when working with high-dimensional data. The dimension of a dataset corresponds to the number of attributes/features that exist in a dataset. A dataset with a large number of attributes, generally of the order of a hundred or mor...
Feature Dimension:The pooling layer reduces the dimension of the feature maps by downsampling, resulting in a compressed representation of the input. This can help enhance the generalization capabilities of the network, preventing overfitting and improving the CNN’s ability to generalize well to unsee...
Machine learning is a field of artificial intelligence that allows systems to learn and improve from experience without being explicitly programmed. It has become an increasingly popular topic in recent years due to the many practical applications it has in a variety of industries. In this blog, w...
10Shunbao Li, Po Yang, and Vitaveska Lanfranchi, "Examing and Evaluating Dimension Reduction Algorithms for Classifying Alzheimer’s Diseases using Gene Expression Data,"17th International Conference on Mobility, Sensing and Networking(MSN), 2021, pp. 687-693,https://ieeexplore.ieee.org/abstract/d...
Atrous convolution isan alternative for the down sampling layer. It increases the receptive field whilst maintains the spatial dimension of feature maps. How do you do 2D convolution? The 2D convolution is a fairly simple operation at heart: you start with a kernel, which is simply a small mat...
Each number indicates where the object is along a specified dimension. In machine learning, the use of vectors makes it possible to search for similar objects. A vector-searching algorithm simply has to find two vectors that are close together in a vector database. To understand this better, ...
Dimension A measurable extent of some kind, such as length, width, height, or time. The dimensions of the pool are 10m x 5m x 2m. 11 Aspect A particular part or feature of something. One aspect of language learning is mastering vocabulary. 12 Dimension Used in various contexts, from phys...
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A signal and noise have different behaviors. This approach trains a machine learning model to separate clean and noisy data into different groups. Autoencoders An autoencoder is a two-step machine learning model that first embeds (or “encodes”) the data into a lower dimension, and then reco...
What is machine learning