Archives for deep learning framework
“MXNet, born and bred here at CMU, is the most scalable framework for deep learning I have seen and is a great example of what makes this area of computer science so beautiful – that you have different disciplines which all work so well together: imaginative linear algebra working in a novel way with massive…
The post Can MXNet Stand Up To TensorFlow & PyTorch? appeared first on Analytics India Magazine.
In recent news, Facebook has announced the stable release of the popular machine learning library, PyTorch version 1.7.1. The release of version 1.7.1 includes a few bug fixes along with updated binaries for Python version 3.9 and cuDNN 8.0.5. PyTorch is an optimised tensor library for working on deep learning techniques using CPUs and GPUs. …
The post PyTorch v1.7.1 Is Out, Check Out The New Features appeared first on Analytics India Magazine.
Recently, researchers from the Western Kentucky University proposed a multi-modal deep learning framework that has the capability to classify genres of video games based on the cover and textual description. The researchers claimed that this research is the first-ever attempt on automatic genre classification using a deep learning approach. Videos games have been one of…
The post This AI Model Can Figure Out Video Games By Its Cover appeared first on Analytics India Magazine.
Recently, developers at LinkedIn open-sourced a deep learning framework known as GDMix. GDMix or Generalised Deep Mixed model is a deep ranking framework to train non-linear fixed effect and random effect models. According to the developers, this type of models is widely used in the personalisation of search as well as recommender systems. With more…
The post LinkedIn Open-Sources GDMix, A Framework That Trains Efficient Personalisation Models appeared first on Analytics India Magazine.
Recently, developers at LinkedIn open-sourced a deep learning framework known as GDMix. GDMix or Generalised Deep Mixed model is a deep ranking framework to train non-linear fixed effect and random effect models. According to the developers, this type of models is widely used in the personalisation of search as well as recommender systems. With more…
The post LinkedIn Open-Sources GDMix, A Framework That Trains Efficient Personalisation Models appeared first on Analytics India Magazine.
Recently, developers at LinkedIn open-sourced a deep learning framework known as GDMix. GDMix or Generalised Deep Mixed model is a deep ranking framework to train non-linear fixed effect and random effect models. According to the developers, this type of models is widely used in the personalisation of search as well as recommender systems. With more…
The post LinkedIn Open-Sources GDMix, A Framework That Trains Efficient Personalisation Models appeared first on Analytics India Magazine.