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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

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Description for Convolutional Neural Networks

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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