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MACHINE-LEARNING QUESTIONS

Use of perceptron for classification
Use of perceptron for classification
This might help you The idea in multiclass variant of the Perceptron algorithm is pretty much the same as in the binary classification except for a few minor differences. In the multiclass classification with K classes, we will maintain a set of K we
TAG : machine-learning
Date : November 21 2020, 11:01 PM , By : The Chee
Binary numbers instead of one hot vectors
Binary numbers instead of one hot vectors
wish help you to fix your issue It is fine if you encode with binary. But you probably need to add another layer (or a filter) depending on your task and model. Because your encoding now implicates invalid shared features due to the binary representa
TAG : machine-learning
Date : November 20 2020, 11:01 PM , By : Kidson Fung
How to compress class values in WEKA explorer
How to compress class values in WEKA explorer
wish helps you Use an Unsupervised Attribute filter, e.g. the NumericToBinary filter. In the topmost field of the configuration dialog, enter the posistion of the "Decision class" attribute. If it is in the 8th column, enter 8. The filter will create
TAG : machine-learning
Date : November 17 2020, 11:01 PM , By : Clayton De Aguiar Ca
Input of LSTM seq2seq network - Tensorflow
Input of LSTM seq2seq network - Tensorflow
wish of those help It turns out the size argument passed to BasicLSTMCell represents both the size of the hidden state of the LSTM and the size of the input layer. So if you want a different hidden size than input size, you can first propagate your i
TAG : machine-learning
Date : November 17 2020, 11:01 PM , By : Kariema Dean
How to use Regression Analysis to Identify Correlation
How to use Regression Analysis to Identify Correlation
To fix the issue you can do You could derive the correlation from regression output, provided we are talking about simple regression with one predictor variable. There are two ways. First, simply take the square root of the R-squared statistic. Of co
TAG : machine-learning
Date : November 11 2020, 11:01 PM , By : taniak
How to use a fixed validation set (not K-fold cross validation) in Scikit-learn for a decision tree classifier/random fo
How to use a fixed validation set (not K-fold cross validation) in Scikit-learn for a decision tree classifier/random fo
I wish this help you In this case, there are three separate sets. The train set, the test set and the validation set.The train set is used to fit the parameters of the classifier. For example:
TAG : machine-learning
Date : November 01 2020, 01:04 PM , By : ania
Can someone explain the train function in cifar10_train.py from cifar10 tutorials in tensorflow
Can someone explain the train function in cifar10_train.py from cifar10 tutorials in tensorflow
I wish this helpful for you It uses MonitoredSession and SessionRunHook for logging the loss when training._LoggerHook is an implementation of SessionRunHook that runs in an order described below:
TAG : machine-learning
Date : October 26 2020, 11:56 AM , By : Dan Christian Monzon
Data Preparation for training
Data Preparation for training
should help you out I am trying to prepare the data file by creating one hot encoding of the text of characters using which I can later train my model for classification. I have a training data file which consists of lines of characters and I am doin
TAG : machine-learning
Date : October 22 2020, 01:08 AM , By : Cuyff
Tensorflow object detection train.py fails when running on cloud machine learning engine
Tensorflow object detection train.py fails when running on cloud machine learning engine
it fixes the issue I have a small working example of the tensorflow object detection api working locally. Everything looks great. My goal is to use their scripts to run in Google Machine Learning Engine, which i've used extensively in the past. I am
TAG : machine-learning
Date : October 17 2020, 01:08 AM , By : BobMiller
What does tf.no_op() do?
What does tf.no_op() do?
hope this fix your issue As the documentation says, tf.no_op() does nothing. However, when you create a tf.no_op() inside a with tf.control_dependencies([x, y, z]): block, the op will gain control dependencies on ops x, y, and z. Therefore it can be
TAG : machine-learning
Date : October 16 2020, 03:08 PM , By : Sergey Dymov
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