enow.com Web Search

Search results

1. Results from the WOW.Com Content Network

2. Caffe (software) - Wikipedia

   en.wikipedia.org/wiki/Caffe_(software)

   Caffe supports many different types of deep learning architectures geared towards image classification and image segmentation.It supports CNN, RCNN, LSTM and fully-connected neural network designs. [8]

3. Open-source artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Open-source_artificial...

   Open-source artificial intelligence is an AI system that is freely available to use, study, modify, and share. [1] These attributes extend to each of the system's components, including datasets, code, and model parameters, promoting a collaborative and transparent approach to AI development. [1]

4. Comparison of deep learning software - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_deep...

   Boost Software License: Yes Cross-platform: C++: C++, Python: Yes No Yes No Yes Yes No Yes Yes Yes Yes Flux: Mike Innes 2017 MIT license: Yes Linux, MacOS, Windows (Cross-platform) Julia: Julia: Yes No Yes Yes [13] Yes Yes No Yes Yes Intel Data Analytics Acceleration Library: Intel 2015 Apache License 2.0: Yes Linux, macOS, Windows on Intel CPU ...

5. Photoshop unveils ‘extraordinary’ AI that transforms your ...

   www.aol.com/photoshop-unveils-extraordinary-ai...

   For premium support please call: 800-290-4726 more ways to reach us

6. List of free and open-source software packages - Wikipedia

   en.wikipedia.org/wiki/List_of_free_and_open...

   This is a list of free and open-source software packages (), computer software licensed under free software licenses and open-source licenses.Software that fits the Free Software Definition may be more appropriately called free software; the GNU project in particular objects to their works being referred to as open-source. [1]

7. Content-based image retrieval - Wikipedia

   en.wikipedia.org/wiki/Content-based_image_retrieval

   General scheme of content-based image retrieval. Content-based image retrieval, also known as query by image content and content-based visual information retrieval (CBVIR), is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases (see this survey [1] for a scientific overview of the CBIR field).