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    Back to Convolutional Neural Networks

    Learner Reviews & Feedback for Convolutional Neural Networks by DeepLearning.AI

    Filled StarFilled StarFilled StarFilled StarFilled Star
    4.9
    stars
    42,511 ratings

    About the Course

    In the fourth course of the Deep Learning Specialization, you will understand how computer vision has evolved and become familiar with its
    exciting applications such as autonomous driving, face recognition, reading radiology images, and more. By the end, you will be able to build a
    convolutional neural network, including recent variations such as residual networks; apply convolutional networks to visual detection and
    recognition tasks; and use neural style transfer to generate art and apply these algorithms to a variety of image, video, and other 2D or 3D
    data. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenge...
    ...

    Top reviews

    JM

    Sep 19, 2020

    Filled StarFilled StarFilled StarFilled StarFilled Star

    Excellent, solid insights into working of models as well as providing references to the original work. THe assignments give practical examples of models one might want to implement for their own use.

    FT

    Apr 6, 2021

    Filled StarFilled StarFilled StarFilled StarFilled Star

    Very good introduction to programming convolutional neural networks. Although the models and functions needed are complicated ,this course takes you by the hand and introduces to all these wild ideas

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