Convolutional Neural Networks

Convolutional Neural Networks

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Gain skills in computer vision, convolutional neural networks, and AI applications through the Deep Learning Specialization to advance your career in AI technology.

Key AI Functions:Facial Recognition System,Tensorflow,Convolutional Neural Network,Deep Learning,Object Detection and Segmentation

Description for Convolutional Neural Networks

Features of Course

  • Understand the evolution of computer vision and its applications, such as autonomous driving, face recognition, and radiology image interpretation.
  • Learn to construct convolutional neural networks, including recent variations like residual networks, and apply them to visual detection and recognition tasks.
  • Explore the use of neural style transfer to generate art and apply convolutional algorithms to various 2D or 3D data, including images and videos.
  • Gain comprehensive knowledge and skills from the Deep Learning Specialization to integrate machine learning into your career and advance in AI technology.
  • Level: Intermediate

    Certification Degree: Yes

    Languages the Course is Available: 22

    Offered by: On Coursera provided by DeepLearning.AI

    Duration: 35 hours (approximately)

    Schedule: Flexible

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