A repository hosting deep neural network architectures trained visual data. These include ImageGen, VideoGen, ImageClassification etc. The main purpose of this repository is to serve as a practitioner's guide to building an end-to-end industry grade deep learning model training pipeline.
Vision is one important aspect of human perception. Many real world tasks depend on visual data. This led to the development of deep learning models that can process visual data. Vision recognition also involves a lot of challenging yet interesting tasks such as image generation, video generation, image classification, object detection, image segmentation etc. This repository hosts deep neural network architectures for these tasks. The main purpose of this repository is to serve as a practitioner's guide to building an end-to-end industry grade deep learning model training pipeline. The repository also serves as a learning resource for beginners who are interested in learning about deep learning models for vision recognition.
Contributions to this repository are very much welcomed! Since I'm a beginner myself, I'm sure there are many things that can be improved. Please refer to the CONTRIBUTING file for more details.
This repository is licensed under the MIT License. Please see the LICENSE file for more details.