MNIST extended: a dataset for semantic segmentation and object detection
An extensible and simple artificial dataset for semantic segmentation and object detection tasks.
Category
Neural networks, architectures, and deep learning fundamentals.
An extensible and simple artificial dataset for semantic segmentation and object detection tasks.
An implementation of a semantic segmentation model using a simple dataset and a very basic architecture.
An introduction to the effective use of deep learning in the business environment.
A keras implementation of an encoder-decoder for time series prediction.