RAD Machine Learning Visual Studio, Design, Train, and Deploy Deep Learning Models Without Coding

Deepcognition machine learning studio tool supports Keras, Tensorflow, PyTorch, MxNet, Caffe2, Chainer 

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You can upload the data in several different formats, we handle the encoding of the data for you. You can also access data from other cloud Repositories like S3, Google Cloud and more.

You can also pull data from your local folders and start creating Deep Learning models in seconds.

Model Building

The simple drag & drop interface helps you design deep learning models with ease. Pre-trained models as well as use built-in assistive features simplify and accelerate the model development process. You can import model code and edit the model with the visual interface.

Code is generated as you are building your Model. Our version of AutoML let you build an initial version of the model with click of a button.

Hyper parameter Tuning & Training

Easy to do Hyperparameter Tuning.

Train your Hyper parameters using our Multi GPU training system where you can deploy multiple GPUs at the same time to cut your training time.

Experiments & Comparison

All the models you create are saved as experiments for you to compare all of your previous work. You can always switch back to old model if needed. Tabular comparison of all the model changes to assist you with model optimization.

Model Deployment

You can download the model as a binary model or as a Python Library. You have One-Click Deployment of the model as REST API and we also generate a form based Web App for you to showcase your solution.

• Our goal is to provide developers, engineers and researchers with an easy to use AI development and deployment platform. Our platform can be used in the cloud or on your infrastructure. We strive to become the platform of choice for all developers and users of deep learning AI.

With Deep Cognition you can choose from a simple but powerful GUI where you can drag and drop neural networks and create Deep Learning models with AutoML, to a full autonomous IDE where you can code and interact with your favorite libraries.

Visual Editor and Code IDE

DESIGN, TRAIN, AND DEPLOY DEEP LEARNING MODELS WITHOUT CODING

Our platform simplifies and accelerates the process of working with deep learning across popular frameworks such as TensorFlow and MXNet.

SIMPLIFY YOUR WORKFLOW WITH PRE-TRAINED MODELS AND AN AI WIZARD

Use pre-trained networks such as VGG16, ResNet and Inception V3 or build your own. Complete networks can be created in seconds with an AI Wizard.

IMPROVE AI GOVERNANCE, COMPLIANCE, AND SECURITY

Manage your models in one platform from experiment to training, testing, and deployment.

AutoML + HYPERPARAMETER TUNING

Deep Learning Studio can automagically design a deep learning model for your custom dataset thanks to our advance AutoML feature. You will have good performing model up and running in seconds.

Our platform is now available for everyone without any subscription cost. We have recently made Deep Learning Studio free for everyone and with single account you can access both cloud as well as desktop software. We are also giving away 2 Hours of Free GPU compute time for new users and desktop users can use their local GPUs for free.

Deep Learning Studio is a deep learning platform for creating and deploying AI. The simple drag & drop interface helps you design deep learning models with ease. Pre-trained models as well as use built-in assistive features simplify and accelerate the model development process. You can import model code and edit the model with the visual interface. The platform automatically saves each model version as you iterate and tune hyper-parameters to improve performance. You can compare performance across versions to find your optimal design. We support transparent multi GPU training to speed up the training time.

Deep Learning Studio is available in both cloud and desktop version. With cloud account, you have an option to rent on-demand high powered GPUs to train the model. You will be able to soon publish your model as REST API on your server or Deep Cognition’s server. Desktop version runs on your local machine and utilizes machine’s GPUs for training. Both versions come with full featured drag and drop editor

AutoML: Our first version of AutoML will design an initial deep learning model on your dataset. This model may need further tuning to improve performance. Company is currently working on next version of AutoML which will explore multiple architectures & hyper-parameters to generate an optimized deep learning model for you

Deep Cognition is offering the tool at no subscription cost and creating a community of developers. Also, we will be offering pre-configured deep Learning environments for TensorFlow, MXNET and Keras for the developers who prefer coding over visual modeling.