AI & Machine Learning
epub, mobi |eng | 2020-06-11 | Author:Jay Dawani [Jay Dawani]
( Category:
Machine Theory
June 26,2020 )
epub |eng | 2020-06-21 | Author:Kroese, Dirk P.; Botev, Zdravko; Taimre, Thomas
( Category:
Machine Theory
June 22,2020 )
azw3, epub, pdf |eng | 2020-06-18 | Author:Foster, Matt [Foster, Matt]
( Category:
Intelligence & Semantics
June 21,2020 )
epub |eng | | Author:Alexandre Bergel
In particular, the algorithm can be run if it has a fitnessBlock, a createGeneBlock, and a numberOfGenes. Moreover, it should not have been previously run (i.e., the logs variable has ...
( Category:
Intelligence & Semantics
June 21,2020 )
epub |eng | 2020-06-22 | Author:Harshit Surana & Anuj Gupta & Bodhisattwa Majumder & Sowmya Vajjala [Harshit Surana]
( Category:
Natural Language Processing
June 19,2020 )
epub |eng | 2020-04-29 | Author:Rob Thomas
The Challenges of Collecting New Sources of High-Volume Unstructured Data Managing data that arrives in real time requires new kinds of tools, such as Apache Kafka, which facilitates streaming data ...
( Category:
Machine Theory
June 12,2020 )
epub |eng | 2008-07-14 | Author:Eric S. Raymond
The “Information Wants to be Free” Myth There is another myth, equal and opposite to the factory-model delusion, which often confuses peoples’ thinking about the economics of open-source software. It ...
( Category:
Natural Language Processing
June 11,2020 )
epub |eng | 2012-06-10 | Author:David J. Gunkel [Gunkel, David]
2.4 Information Ethics One of the criticisms of animal rights philosophy is that this moral innovation, for all its promise to intervene in the anthropocentric tradition, remains an exclusive and ...
( Category:
Robotics & Automation
June 11,2020 )
epub |eng | 2018-09-19 | Author:Terrence Sejnowski
Box 10.1 Temporal Difference Learning In this model of the honeybee brain, actions are chosen (such as landing on a flower) that maximize all future discounted rewards: R(t) = rt+1 ...
( Category:
Intelligence & Semantics
June 11,2020 )
epub |eng | 2020-05-08 | Author:Germaine Halegoua [Halegoua, Germaine]
Critiques of Smart Technologies After implementing sensor and IoT technologies, Barcelona’s chief technology officer noticed that the city had accumulated immense amounts of data across different platforms. Although data accumulation ...
( Category:
Intelligence & Semantics
June 8,2020 )
epub, pdf |eng | | Author:Margot Tollefson
R Datasets Many of the packages in R come with datasets. Some of these datasets are found in the package datasets, which is one of the packages installed by default ...
( Category:
Intelligence & Semantics
June 7,2020 )
epub |eng | 2019-04-30 | Author:Yuxi (Hayden) Liu [Yuxi (Hayden) Liu]
_, lossT, accT = sess.run([modelGraph.train, modelGraph.loss, modelGraph.avgAccuracy], feed_dict = {modelGraph.x: batchX, modelGraph.y: batchY, modelGraph.keepProb: modelGraph.dropOut}) print('Epoch: '+str(epoch)+' Minibatch_Loss: '+"{:.6f}".format(lossT)+' Train_acc: '+"{:.5f}".format(accT)+"\n") if epoch % 10 == 0: saver.save(sess, modelGraph.savePath) The ...
( Category:
Intelligence & Semantics
June 7,2020 )
epub |eng | 2020-03-06 | Author:Anand Deshpande [Anand Deshpande]
job_id = '{}_{}_{}'.format(clean_project_name, model_name, timestamp) Start building the request dictionary with the required information: body = {'jobId': job_id, 'predictionInput': { 'dataFormat': data_format, 'inputPaths': input_paths, 'outputPath': output_path, 'region': region}} Use the ...
( Category:
Intelligence & Semantics
June 7,2020 )
epub |eng | 2020-02-21 | Author:Swarna Gupta [Swarna Gupta]
We now compile and train the autoencoder: # compile autoencoder %>% compile(loss='mse', optimizer='adam') # train the autoencoder autoencoder %>% fit(x_train_gray, x_train, validation_data= list(x_test_gray, x_test), epochs=20, batch_size=batch_size) We use the trained ...
( Category:
Expert Systems
June 6,2020 )
epub |eng | 2019-05-30 | Author:Karthik Ramasubramanian and Jojo Moolayil
Reduce the number of distinct locations in the variable. This can be done by tagging all the locations that are not a part of the location_list list as Others:df_new$new_location <- ...
( Category:
Intelligence & Semantics
June 6,2020 )
Categories
Computer Vision & Pattern Recognition | Expert Systems |
Intelligence & Semantics | Machine Theory |
Natural Language Processing | Neural Networks |
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