Deep learning model for phone recognition - issues with dimension the model

1. What type of deep learning models are best suited for image recognition?
2. What is dimension in deep learning?
3. Can neural networks handle high dimensional data?

What type of deep learning models are best suited for image recognition?

1. Convolutional Neural Networks (CNNs) CNN's, also known as ConvNets, consist of multiple layers and are mainly used for image processing and object detection.

What is dimension in deep learning?

The number of input variables or features for a dataset is referred to as its dimensionality. Dimensionality reduction refers to techniques that reduce the number of input variables in a dataset.

Can neural networks handle high dimensional data?

Observations from real-world problems are often high- dimensional vectors, i.e. made up of many variables. Learning methods, including artificial neural networks, often have difficulties to handle a relatively small number of high-dimensional data.