convolutional Neural Networks

Read the Web page found that to learn deep learning, should be first on convolutional neural network (convolutional neural Networks, referred to as CNN), convolutional Neural network was proposed by Yann LeCun, LeCun joined Facebook at the end of 2013 to take charge of the newly established AI Lab.

Here are some more information about CNN's better (ie easier for beginners to understand)

(1) convolutional neural networks

This blog post has a three-point personal knowledge of CNN and is good, listed below:

First, it is clear that deep learning is the general term of all depth learning algorithms, and CNN is an application of deep learning algorithms in the field of image processing.

• 1th, before learning deep learning and CNN, always think they are very great knowledge, always think they can solve a lot of problems, after learning, only to know that they are similar to other machine learning algorithms such as SVM, still can think of it as a classifier, You can still use it as you would with a black box.

• 2nd, deep Learning is a powerful place where the output of one layer of the network can be used as another expression of the data, which can be thought of as a feature of the network learning. Based on this feature, further similarity comparisons can be made.

• 3rd, the Deep learning algorithm can be effective key is actually large-scale data, the reason is that each DL has a number of parameters, a small amount of data can not be fully trained parameters.

convolutional Neural Networks