deep learning tutorial matlab

Python implementation of multilayer neural networks. The code is pasted first, the programming thing is not explained. Basic theory reference Next: Deep Learning Learning Notes (iii): Derivation of neural network reverse propagation algorithm Supervisedlearningmodel, Nnlayer, and softmaxregression that appear in your code, refer to the previous note:

1.1 machine learning basics-python deep machine learning, 1.1-python Refer to instructor Peng Liang's video tutorial: reprinted, please indicate the source and original instructor Peng Liang Video tutorial: http://pan.baidu.com/s/1kVNe5EJ 1. course Introduction 2. Machine

Toronto this year's deep learning courseware material):http://www.cs.toronto.edu/~rgrosse/csc321/calendar.htmlUFLDL Tutorial-ufldl (Stanford's deeplearning Introductory tutorial): Http://deeplearning.stanford.edu/wiki/index.php/UFLDL_TutorialDeep Learning Concise

similar to the dimensionality reduction) method. Maximum pooling divides the input image into overlapping image matrix blocks, and each sub-region outputs its maximum value. The two reasons why the maximum pooling method is very effective in the visual processing problem are:(1) Reduce the computational complexity of the upper level by reducing the non-maximum value.(2) The result of pooling supports translation invariance. In the convolution layer, each pixel point has 8 orientations that can

many problems do not have an intuitive physical meaning), so they can achieve better results in large-scale training data.. In addition, from the perspective of Pattern Recognition features and classifiers, the deep learning framework combines feature and classifier into a framework and uses data to learn feature, this reduces the workload of manually designing feature (which is the most effort by engineer

the beginning of the 8 million-dollar venture, it deserves attention. Back to the course, cs224d can be translated as "deep learning for Natural language processing (Deepin learning for Natural Language processing)", which is an on-campus course for Stanford students, However, the relevant material of the course is put on the net, including course video, coursew

convolutional Neural Network Primer (1) Original address : http://blog.csdn.net/hjimce/article/details/47323463 Author : HJIMCE convolutional Neural Network algorithm is an n-year-old algorithm, only in recent years because of deep learning related algorithms for the training of multi-layered networks to provide a new method, and now the computing power of the computer is not the same level of computing, an

train a neural network in your navigator based on Universal JavaScript. Karpathy also wrote a Convnetjs introductory tutorial, as well as a concise browser demo project.Nine, MXNet. From Cxxnet, Minerva, purine and other projects of the developer's hand, mainly in C + + written. MXNet emphasizes the efficiency of memory usage and even the task of running image recognition on smartphones.Ten, Neon. Nervana Systems, a startup company, open source this