ClearVu Python Package
Our new developed Python Package allows users to use the automatic machine learning capabilities of ClearVu Analytics within Python. This includes fitting, comparing, using, loading, saving and exporting models. Automated machine learning includes the automated training and hyperparameter optimization of nonlinear modeling algorithms such as neural networks, random forests, support [...]
New Research in the Field of Deep Learning
Jun, 2019 New Research in the Field of Deep Learning A very interesting and relevant research field is the automatic optimization of the structure and parameters of deep neural networks (deep learning). At the International Joint Conference on Neural Networks (IJCNN) https://www.ijcnn.org/ we will present our contribution entitled “Automatic Configuration [...]
Deep Learning
For the artificial intelligence the so-called deep learning bears much potential for progress It is a method for processing information which is drawn from huge bulks of data and it detects connections between the different kinds information. For this purpose, multi-layer neural networks, deep networks, are used. The depth of [...]
divis presents the new version of ClearVu Analytics – CVA 3.0
During the last quarter the long-awaited version of ClearVu Analytics, CVA 3.0, has been finished. In contrast to the forerunner the new version offers a completely redesigned user interface. Following the look and feel of current software products the handling is more intuitive and results can be achieved in a [...]