What are deep ConvNets learning? - Convolutional Neural Networks
Link to this course:
https://click.linksynergy.com/deeplin...
What are deep ConvNets learning? - Convolutional Neural Networks
Deep Learning Specialization
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.
Facial Recognition System, Tensorflow, Convolutional Neural Network, Artificial Neural Network
Great Course Overall One thing is that some videos are not edited properly so Andrew repeats the same thing, again and again, other than that great and simple explanation of such complicated tasks.,This is very intensive and wonderful course on CNN. No other course in the MOOC world can be compared to this course's capability of simplifying complex concepts and visualizing them to get intuition.
What are deep ConvNets learning? - Convolutional Neural Networks
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