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I am having a look at this material and I have found the following statement:For this class of models [Gradient Boosting Machine algorithms] [...] it is both...
Asked on 11/10/2021
1 answerI am currently using TF 2.1. When using model.fit with tf.data.Dataset, it shows me that the number of iterations is 2044/2043. So my question is, how many batches of data...
Asked on 11/10/2021
1 answerI designed a specific Convolution Neural Network to study in the area of image processing. The network has a part that there are two tensors that have to be transformed...
Asked on 11/07/2021 by amir Maleki
1 answerI am beginner in natural language processing and my goal is to find a way to score sentences based on their emotional tension. More specifically, I would like to know...
Asked on 11/07/2021
1 answerI keep trying to run a new set of data through my KNN Classifier but would recieve the message: ValueError: query data dimension must match training data dimensionIt then...
Asked on 11/07/2021
1 answerI have a highly imbalanced binary classification problem, probably 95:5 for two classes. I don't want to perform resampling as the data is already huge and training it would just...
Asked on 11/07/2021
1 answerI am not sure why I am receiving this value error. Additionally, I haven't found a tutorial that explicitly talks about the appropriateness of size of filters and kernel. I...
Asked on 11/05/2021 by vanetoj
2 answerI'm trying to find an algorithm that would fit this use case: My data: a bunch of fixed-size integer arrays, e.g.[0,2,3,4,5][1,2,3,1,5][4,1,2,4,5]...Input: an array of integers, and output: prediction for...
Asked on 11/05/2021 by Andrew Furman
2 answerThe usual strategy in neural networks today is to use min-max scaling to scale the input feature vector from 0 to 1. I want to know if the same principle...
Asked on 11/05/2021
1 answerI am learning Deep Q-learning by applying it to a real world problem. I have been through some tutorials and papers available online but...
Asked on 11/05/2021
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