Description: Using Genetic Algorithms and Ant Colony Algorithms to Solve Traveling Salesman Problem.

Description: Deep Learning Basic Algorithms, Deep Learning with Python as the title suggests introducing deep learning using Python programming language and open source Keras library, which allows for simple and fast prototyping. In Python in-depth learning, you will learn in-depth learning from the beginning. You will learn all about image classification models, how to use in-depth learning to obtain texts and sequences, and even how to use neural networks to generate texts and images. This book is written for people with Python skills, but you don't have to have any experience in machine learning, Tensorflow or Keras. You don't need advanced mathematics background, only basic high school mathematics should let you follow and understand the core ideas.

Description: Classification for a simple classification
hyqhyq21 2019-04-28 10:04:54
Description: Implementation classification

Description: Data Mining Algorithms DIANA Source C Language Version
linyiyi9a9a9aaa 2019-04-27 21:07:52
Description: At present, the popular neural network technology EA in China adopts multi-currency hedging trade.
yaoxunji 2019-04-27 14:40:36
Description: Deep Learning With Python
ZQ007 2019-04-27 13:56:26
Description: Describe the general methods and techniques of pattern recognition. Quick introduction to some knowledge theory of simple pattern recognition

Description: (This is the improved simulated annealing algorithm SA, and coded using matlab)
oidumpling 2019-04-27 11:01:16
Description: simple neuron network for mnist dataset. use bp algorithm. only 3 layer network.
wlog 2019-04-26 23:58:41
Description: Graphical deep learning (sample chapter)
wlog 2019-04-26 23:57:44
Description: Graphic machine learning

Description: What is a variational automatic encoder? To understand VAE, we start with the simplest network, and then add additional parts step by step. A common way to describe neural networks is to approximate some of the functions we want to model. However, neural networks can also be regarded as data structures carrying information. If we have a network with deconvolution layer, we set the input to a vector with all values of 1 and output to an image. Then, we can train the network to reduce the average square error between the reconstructed image and the original image. After training, the information of the image is retained in the parameters of the network.vae
wsuna 2019-04-26 16:19:32
Description: Proficiency in Scrapy Web Crawler
wsuna 2019-04-26 16:17:50
Description: Python 3 Program Development Guide. Second Edition (with bookmarks)
sun10101 2019-04-26 15:16:34
Description: detect images with cnn
Jinyix 2019-04-26 13:55:40
Description: Recommend algorithm based on KNN

Description: BP neural network algorithm, the process is very detailed, will help you.
xixixixixi 2019-04-25 23:34:26
Description: Bp neural network for classification
xixixixixi 2019-04-25 23:21:39
Description: bp artificial neural network optimized with mind Evolutionary Algorithm
zhangyanhong 2019-04-25 18:02:23
Description: Recognition of Digital Images Using Three-Layer Neural Network
xhbean 2019-04-25 12:00:34
Description: combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly.It includes the Live Editor for creating scripts that combine code,output,and formatted text in an executable notebook
thuann 2019-04-24 22:40:25
Description: cayyyy quyet dinh id3 - python
dukeyi 2019-04-24 19:57:51
Description: Python in-depth learning a book supporting program source code
dukeyi 2019-04-24 19:55:50
Description: HD Chinese version PDF, 314 pages, with catalog labels, can copy and paste, high definition, supporting source code.

Description: Optimization of BP neural network based on genetic algorithm