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Deep Cognition Platform Introduction

Deep Cognition Platform is an integrated environment for deep learning developers that provides following capabilities:

  1. Deep Learning Studio: Deep Learning Studio is our easiest to use software to develop, train and deploy deep learning models graphically. In general flow of building a deep learning model in Deep Learning Studio is as follows:
    1. Create a project and upload dataset
    2. Specify preprocessing options
    3. Build model with UI
    4. Train and Evaluate the model
    5. Download or deploy model
  2. Preconfigured Deep Learning Development Environments: We have containerized development environments available for virtually all popular deep learning frameworks like TensorFlow, Keras, MxNet, Caffe-2, PyTorch etc. All you have to do is to install the environment and start working. You will get full command line access to web based terminal and a VS Code based IDE editor.
  3. **Jupyter Notebook: **Of-course Jupyter notebook is available for those who prefer to experiment in Jupyter notebook.
  4. Other tools: Addition to above you will get access to tools to upload and manage your dataset and deployed models.