Deep Cognition

Deep Cognition Deep Learning software allows users to develop, train, and run deep learning models without coding.

Overview

Deep Cognition Deep Learning software offers engineers, developers, and researchers an AI development and deployment solution for training and deploy deep learning models. Users do not need to write any code, and the software accelerates and streamlines the process of using popular frameworks like MXNet and TensorFlow. Plus, the Deep Cognition Deep Learning software offers users pre-trained models and an artificial intelligence wizard to simplify their workflow.

Users can use advanced pre-trained networks like MobileNet, ResNet, Mask RCNN, Xception, InceptionV3, and DenseNet or develop their models. With the AI Wizard, users can create custom networks with ease. Deep Cognition Deep Learning software enables users to manage their models ultimately all through its lifecycle from experiment to testing, training, and running in one platform. Besides, this software helps users to improve their compliance, security, and governance. 

Deep Cognition Deep Learning software provides an advanced AutoML capability to users, which helps to design a deep learning model automatically for their custom dataset. Users can use this software on the cloud or their infrastructure with ease. This software allows users to upload their data in multiple formats, and they can access data from local networks and FTP. Additionally, the Deep Cognition Deep Learning software enables users to import model code and edit the model with ease.

Users can save all their models as experiments for them to compare all their previous work. Deep Cognition Deep Learning software allows users to download the model as a Python library or as a binary model. This software offers developers pre-configured environments, and different versions of Caffe, Chainer, MXNet, TensorFlow, and Pytorch. Also, developers can use this software's web-based IDE to code without any restrictions and leverage existing systems by importing existing Github projects.

Product Details

Deep Cognition Deep Learning software allows users to deploy their Artificial Intelligence model as a REST API. Users can use this software to design a web application to develop the business logic with all possible operations and object entities on them. Deep Cognition Deep Learning software enables users to build a fast POC for their artificial intelligence model without downloading the AI framework. Plus, users can use this software to add value to their business using their deep learning models directly.

Deep Cognition Deep Learning software offers developers pre-configured deep learning environments to save them from Dev-Ops work. This software provides users who prefer coding over visual modeling, with different and easy to install versions of Pytorch, Chainer, MXNet, TensorFlow, and Caffe. The Web-based IDE of this software enables users to code without restrictions. Deep Cognition Deep Learning software allows users to have the complete power of the terminal in their hands. Besides, users can use this software to import existing Github projects to make use of existing code. 

Deep Cognition Deep Learning software enables developers, researchers, and engineers to use the AI development and deployment platform in the cloud or on their infrastructure. Both programmers and non-programmers can use this software to build artificial intelligence without coding. The software is open-source and free for users to use, and its interface enables users to build deep learning models with ease. With the visual interface of the Deep Cognition Deep Learning software, users can import model code and edit the model seamlessly. Additionally, the software automatically saves each model version as users tune and iterate hyper-parameters to enhance performance.

Deep Cognition Deep Learning software allows users to compare the performance across different model versions to find their optimal design. This software supports transparent multi-GPU training to increase the training time speed. With the cloud version of this software, users can rent on-demand high-powered GPUs to train their models. Deep Cognition Deep Learning software will soon allow users to publish their model as REST API in the Deep Cognition server or on their server. Users can run the desktop version of this software on their local machine, and it uses the machine's GPU for training. Also, the different versions of the software offer users a wholly featured editor.

Deep Cognition Deep Learning software allows users to use AutoML to design a deep learning model from their dataset. Users can ingest their data in multiple formats as the software helps users to handle the data encoding. This software allows users to access data from the local network or FTP, and users can pull data from their local folders to start creating deep learning models rapidly. With pre-trained models and the in-built assistive capabilities of this software, users can accelerate and streamline the model development process. Plus, the visual interface of this software allows users to import model code and build their model.

Deep Cognition Deep Learning software allows users to generate code and build their models. With AutoML, users can create an initial version of their model with ease. This software enables users to tune their hyperparameters with its Multi GPU training system that allows users to deploy different GPUs at the same time. Deep Cognition Deep Learning software allows users to save all the models they create as experiments to use as a comparison. Besides, this software allows users to switch to their old model if needed, and the tabular comparison assists users with model optimization.

Deep Cognition Deep Learning software enables users to download the model as a Python Library or a binary model. This software offers users one-click deployment for their REST API. Users can use the Deep Cognition Deep Learning software to manage their models from experiment to testing, training, and implementation.

Recap

Deep Cognition Deep Learning software allows developers and researchers to create, train, and run deep learning models without any programming. Users can use this software to accelerate and streamline the Deep learning process across popular frameworks like MXNet and TensorFlow, and it enables users to improve their artificial intelligence compliance, governance, and security. Deep Cognition Deep Learning software allows users to use their advanced AutoML capabilities to design models for their custom datasets.