Workshop: Introduction to Image Generation in Computer Vision using Deep Learning

 
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Outline/Structure of the Workshop

Workshop: Introduction to Image Generation in Computer Vision using Deep Learning

Learning Outcome

Computer Vision using Deep Learning

Target Audience

Data Scientists, Engineers, Developers, AI Enthusiasts, particularly Computer Vision enthusiasts

Prerequisites for Attendees

  1. Basic knowledge on Machine Learning
  2. Basic knowledge in Python programming
  3. Previous knowledge of working with Jupyter notebook or Spyder IDE
  4. Basic knowledge of Neural Networks
  5. Basic knowledge on Deep Learning and Computer Vision
schedule Submitted 4 months ago

Public Feedback

comment Suggest improvements to the Speaker
  • Joy Mustafi
    By Joy Mustafi  ~  3 months ago
    reply Reply

    Can you please include more on image / video generation instead of analysis and fundamentals of computer vision. Also if you can convert into 90 or 45 minutes session. Thanks, Joy

    • Aditya Bhattacharya
      By Aditya Bhattacharya  ~  3 months ago
      reply Reply

      Hi,

      I have updated the content to target this hands-on workshop particularly about Image generation using DCGAN and VAEs and how it can be extended towards video generation. Please feel free to let me know if I should try to include any other specific topic which will be helpful for the audience.

      Thanks,

      Aditya

    • Aditya Bhattacharya
      By Aditya Bhattacharya  ~  3 months ago
      reply Reply

      Thanks Joy for the feedback. Sure I can do that. In that case, I will target only the specific area of image generation in computer vision using DCGAN and VAEs and how it can be extended towards Video Generation.

      And yes ofcourse, the session duration will also be shorter, and will be within 90 minutes.

      Let me update the content and the topic as well, and once done I will let you know. Please feel free to provide your feedback on the updated content, once it is done.

      Best Regards,

      Aditya