[Coursera] Convolutional Neural Networks

This course is part of the Deep Learning Specialization

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Convolutional Neural Networks

About this Course

This course will teach you how to build convolutional neural networks and apply it to image data. Thanks to deep learning, computer vision is working far better than just two years ago, and this is enabling numerous exciting applications ranging from safe autonomous driving, to accurate face recognition, to automatic reading of radiology images. You will: – Understand how to build a convolutional neural network, including recent variations such as residual networks. – Know how to apply convolutional networks to visual detection and recognition tasks. – Know to use neural style transfer to generate art. – Be able to apply these algorithms to a variety of image, video, and other 2D or 3D data. This is the fourth course of the Deep Learning Specialization.

Course 4 of 5 in the

Deep Learning Specialization

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Intermediate Level

Approx. 20 hours to complete

Suggested: 4 weeks of study, 4-5 hours/week… More

English

Subtitles: English, Chinese (Traditional), Chinese (Simplified), Korean, Japanese

About deeplearning.ai

deeplearning.ai is Andrew Ng’s new venture which amongst others, strives for providing comprehensive AI education beyond borders.… More

About the Deep Learning Specialization

If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning. In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach. You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice. AI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work. We will help you master Deep Learning, understand how to apply it, and build a career in AI…. More
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9 thoughts on “[Coursera] Convolutional Neural Networks”

  1. No need to add these coursera courses…..you all can get coursera financial aid which makes courses free with certificates.
    Just google for their financial aid answers.

    Reply

  2. Add the remaining courses as fast as possible plzzzzzzzzzzz guysssss….i will click every ad that appears here plzzz do it…. All courses of deep learning specialization plzzzz

    Reply

  6. Thank you very much for this one.

    In the info it is said: “Course 4 of 5 in the Deep Learning Specialization”.

    Is it possible to get the other 4 courses, please? Thanks in advance!

    Reply

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