In deep learning a convolutional neural network cnn or convnet is a class of deep neural networks most commonly applied to analyzing visual imagery cnns use a variation of multilayer perceptrons designed to require minimal preprocessing. The learning rule is a rule or an algorithm which modifies the parameters of the neural network in order for a given input to the network to produce a favored output this learning process typically amounts to modifying the weights and thresholds of the variables within the network. This audiobook covers the basics behind convolutional neural networks by introducing you to this complex world of deep learning and artificial neural networks in a simple and easy to understand way it is perfect for any beginner out there looking forward to learning more about this machine learning field. Machine learning is fun part 3 deep learning and convolutional neural networks update this article is part of a series check out the full series part 1 part 2 part 3 part 4 part 5 part . This course will teach you how to build convolutional neural networks and apply it to image data 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
How it works:
1. Register a Free 1 month Trial Account.
2. Download as many books as you like ( Personal use )
3. No Commitment. Cancel anytime.
4. Join Over 100.000 Happy Readers.
5. That's it. What you waiting for? Sign Up and Get Your Books.