Introduction to Deep Learning:

Deep Learning simulates the hierarchal structure of the human brain, processing data from the lower level to a higher level, and moderately composing more and more semantic concepts. Deep learning is being widely utilized in industries to resolve the huge amount of issues like computer vision, natural language processing and pattern recognition.
In this course, we provide you with a practical approach to solving a real-world Problem. By the end of the course, you will have a solid understanding of Deep Learning Intuition, Different types of Neural Networking, Transfer Learning, Computer Vision, AutoEncoders, etc.

Curriculum for this course:

  • Introduction to Deep Learning
  • Artificial Neural Networks
  • Convolutional Neural Networks (VGG, ResNet, Inception)
  • Transfer Learning and Neural Style Transfer
  • Computer Vision, OpenCV, SSD
  • Recurrent Neural Learning (LSTM)
  • Boltzmann Machines
  • AutoEncoders
  • Generative Adversarial Networks
  • Real-World Case Studies

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