Artificial Neural Networks and Deep Learning

Artificial Neural Networks is a computational model based on the structure and functions of biological neural networks. ANNs are considered nonlinear statistical data modelling tools where the complex relationships between inputs and outputs are modelled or patterns are found.

Modern Digital Computers outperform humans in the domain of numeric computation and related symbol manipulation. However, humans can effortlessly solve complex perpetual problems (like recognizing a man in a crowd from a mere glimpse of his face) at such a high speed and extend as to dwarf the world’s fastest computer. The biological neural system architecture is completely different. This difference significantly affects the type of functions each computational model can best perform

 

    Related Conference of Artificial Neural Networks and Deep Learning

    September 14-15, 2020

    International Conference on Microfluidics

    Dubai, UAE
    September 21-22, 2020

    Global Summit on Computer Science and Data Management

    Sydney, Australia
    November 23-24,2020

    8th International Conferences on Green Energy & Expo

    Edinburgh, Scotland
    September 25-26, 2020

    7th International Conference and Expo on Computer Graphics & Animation

    | Vancouver | British Columbia | Canada
    October 16-17, 2020

    International Summit on Industrial Engineering

    Munich, Germany
    October 19-20, 2020

    International Conference on Microfluidics & Bio-MEMS

    Amsterdam, Netherlands
    November 09-10, 2020

    2nd World Congress on Robotics and Automation

    Amsterdam, Netherlands
    November 19-20, 2020

    World Microfluidics Congress

    Berlin, Germany
    December 10-11, 2020

    2nd International Conference on Wireless Technology

    Abu Dhabi, UAE

    Artificial Neural Networks and Deep Learning Conference Speakers

    Recommended Sessions

    Related Journals

    Are you interested in