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Artificial Intelligence (AI)

๐Ÿ˜„ | 120 | Learners
5/5
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Artificial Intelligence

Course Details

Artificial Intelligence (AI) makes computers to perform tasks such as speech recognition, decision-making and visual perception which normally requires human intelligence that aims to develop intelligent machines

The basic grounding in the ExcelRโ€™s practices in AI is likely to become valuable in the field of business, and profession. This course is intended to cover the concepts of Artificial Intelligence from the basics to advanced implementation.

Course Outline:

  • Introduction To AI And DL
  • Introduction To Mathematical Foundations
  • Introduction To The Perceptron Algorithm, ANN / MLP
  • Various Hyper Parameters In Neural Networks
  • Various Outcomes-Based MLP And Regularization Techniques
  • Image Processing / Computer Vision Using OpenCV
  • Convolution Neural Network (CNN) And Variants
  • Recurrent Neural Network (RNN), Long Short Term Memory (LSTM) And Gated Recurrent Unit (GRU)
  • Generative Deep Learning, Generative Adversarial Networks (GANs), Autoencoders
  • AI Game Playing, Reinforcement Learning, Advanced Techniques

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