AI & Machine Learning
epub, mobi |eng | 2020-08-15 | Author:Oswald Campesato [Campesato, Oswald]
The previous code block contains two bidirectional LSTM cells, both of which are shown in bold. LSTM Formulas The formulas for LSTMs are more complex than the update formula for ...
( Category:
AI & Machine Learning
September 1,2020 )
epub, pdf |eng | 0101-01-01 | Author:Rishal Hurbans [Hurbans, Rishal]
Determine the stopping criteria The algorithm stops after several iterations: conceptually, the number of tours that the group of ants concludes. Ten iterations means that each ant does 10 tours; ...
( Category:
AI & Machine Learning
August 29,2020 )
epub |eng | 2019-11-29 | Author:Laura Mitchell [Laura Mitchell]
Once the network is created, we can train the model using the same code as seen in the previous examples. The following is the code for training the model: model ...
( Category:
AI & Machine Learning
August 29,2020 )
epub |eng | | Author:Stefanie Czischek
Similar to the TWA, the initial configurations sampled from the discrete Wigner function in the dTWA can be evolved in time to simulate dynamics in spin systems. We consider the ...
( Category:
AI & Machine Learning
August 29,2020 )
epub |eng | 2020-07-24 | Author:Rahman, Was;
Deep Learning Deep learning56 is a family of ML techniques that help find more accurate and sophisticated answers to ML questions. It can be used for supervised, unsupervised or semi-supervised ...
( Category:
AI & Machine Learning
August 29,2020 )
epub |eng | 2020-08-23 | Author:Smith, Benjamin [Smith, Benjamin]
The cross_val_predictÂ() function uses K-fold-cross-validation to generate and display predictions made by the classifier on each fold. In this way, we save the testing set for the end of the ...
( Category:
Artificial Intelligence & Semantics
August 26,2020 )
epub |eng | 2020-08-12 | Author:Murphy , Mark [Murphy , Mark]
( Category:
AI & Machine Learning
August 14,2020 )
epub |eng | 2020-07-30 | Author:Stefan Jansen
In addition to directly controlling the size of the ensemble, there are various regularization techniques, such as shrinkage, that we encountered in the context of the ridge and lasso linear ...
( Category:
Python Programming
August 10,2020 )
epub |eng | 2019-04-30 | Author:Julio Cesar Rodriguez Martino [Julio Cesar Rodriguez Martino]
Studying the Spearman's correlation To calculate the Spearman's coefficient, we need to first rank the values of each variable, that is, the order of the values when we sort them ...
( Category:
Intelligence & Semantics
August 6,2020 )
epub |eng | 2020-07-24 | Author:Tarek Amr [Tarek Amr]
pip install spacy python -m spacy download en_core_web_lg Then, we can assign the downloaded vectors to our five words as follows: import spacy nlp = spacy.load('en_core_web_lg') terms = ['I', 'like', ...
( Category:
Machine Theory
August 6,2020 )
epub |eng | | Author:James L. Chen & Adam Chen
2.The use of the Hibernate Enabled is applicable for permanent mounting installations or circumstances where the telescope is not moved. Trying to use the Hibernate Enabled can be tricky and ...
( Category:
Computer Vision & Pattern Recognition
August 6,2020 )
epub |eng | 2020-07-28 | Author:Matthew Moocarme, Mahla Abdolahnejad, and Ritesh Bhagwat
Hyperparameter Tuning with scikit-learn Hyperparameter tuning is a very important technique for improving the performance of deep learning models. In Chapter 4, Evaluating Your Model with Cross-Validation Using Keras Wrappers, ...
( Category:
Intelligence & Semantics
August 6,2020 )
epub, mobi |eng | 2019-10-18 | Author:Andrea Lonza [Andrea Lonza]
( Category:
Machine Theory
August 6,2020 )
epub |eng | | Author:Edward Ashford Lee
NOTES 1. Note that computers today really are built on an analog substrate even if digital physics is ultimately true. The design of a transistor does not rely on digital ...
( Category:
Intelligence & Semantics
August 4,2020 )
Categories
| Computer Vision & Pattern Recognition | Expert Systems |
| Intelligence & Semantics | Machine Theory |
| Natural Language Processing | Neural Networks |
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