neural network book

"Self-built Neural Networks" is an e-book. It is the first and only Neural Network book on the market that uses Java. What self-built Neural Networks teach you: Understand the principles and various design methods of

Main reference: http://colah.github.io/posts/2015-08-Understanding-LSTMs/ RNN (recurrent neuralnetworks, cyclic neural network) For a common neural network, the previous information does not have an impact on the current understanding, for example, reading an article, we need to use the vocabulary learned before, and t

Instructor Ge yiming's "self-built neural network writing" e-book was launched in Baidu reading. Home page:Http://t.cn/RPjZvzs. Self-built neural networks are intended for smart device enthusiasts, computer science enthusiasts, geeks, programmers, AI enthusiasts, and IOT practitioners, it is the first and only

through its axis bursts send a faint current to other neurons. This is a nerve that connects to the input nerve or to another neuron's dendrites, and the neuron then receives the message to do some calculations. It has the potential to transmit its own messages on the axon to other neurons. This is the model of all human thinking: our neurons compute the messages we receive and pass information to other neurons. This is how we feel and how our muscles work, and if you want to live a muscle, it

"Matlab Neural network Programming" Chemical Industry Press book notesThe fourth Chapter 4.3 BP propagation Network of forward type neural network This article is "MATLAB Neural

training set, and the network still has a great chance of recognizing it. It is this generalization that makes the neural network a priceless tool that can be used in countless applications, from face recognition, medical diagnostics, to racing predictions, there is also the navigation of bots in computer games (robots that act as game characters) or hardware ro

fewer iterations."Iteration 100 Times"The outline of Tiananmen Square"Iteration 500 Times"has been basically close to the final effect, both can see the shape of Tiananmen Square, but also the Van Gogh "Starry Night" line style and color collocation."Iteration 1000 Times"500 times to 1000 times, the changes in the composition of the screen are not drastic, basically tend to smooth."Iterate 500 times, repeat three times"Repeated calculations three times, using the same picture, the same convolut

, the objective function of SVM is still convex. Not specifically expanded in this chapter, the seventh chapter is detailed.Another option is to fix the number of base functions in advance, but allow them to adjust their parameters during the training process, which means that the base function can be adjusted. In the field of pattern recognition, the most typical algorithm for this method is the forward neural ne