Researchers at work find a way to enhance AI systems working through causal learning to overcome challenges.
It is also termed as ConvNet that is a Deep learning algorithm that inputs an image, draws different feature maps using different kernels that allocates learnable weights to different objects in the image so as to differentiate from one another. The algorithm is widely used for various Image related tasks like classification, segmentation etc.
Dealing with text data in deep learning with the help of CNN and word embedding. Classification of Documents using Convolutional Neural Network (CNN)