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I am using the keras API to load in the MNIST dataset. My problem is I need to use AlexNet as my algorithm. Understanding the AlexNet model, I require to...
Asked on 03/05/2021 by CrocusMac
1 answerI have trained a deep learning model for regression. The accuracy of the model is poor. I am quite new to deep learning. How can I improve it? The target...
Asked on 03/05/2021
1 answerSuppose a training dataset contains the following inputs:company sizenumber of employeesturnoveraverage salarycountryyears of operation...and outputs:budget allocated to marketingbudget allocated to salesbudget allocated to R&Dbudget allocated to trainingbudget allocated...
Asked on 03/05/2021
1 answerI am willing to create a hypothetical non-convex constraints for the purpose of practising nonlinear classification using an algorithm. I thought of such constraints in the form: $x^TAx +...
Asked on 03/05/2021 by MaliMali
1 answerI am trying to train an IMU (Inertial Measurement Unit) dataset. The dataset contain 6 features (3-gyro, 3-accelerometer) and 1 label column. I have build a neural network via Conv1D,...
Asked on 03/05/2021 by dasmehdix
0 answerI can't understand the purpose of importance-sampling weights (IS) in Prioritized Replay (page 5). A transition is more likely to be sampled from experience replay the larger...
Asked on 03/05/2021
2 answerAs far as I know when it comes to theory, we use Pearson correlation when we want to check the correlation between two variables, which are both continuous or discrete....
Asked on 03/05/2021 by I.D.M
1 answerI have a dataset of microscope images and I want to train a ML/DL algorithm to perform binary classification. The positive class is when there is only one cell in...
Asked on 03/05/2021 by TasosGlrs
3 answerI am currently studying the Elements of Statistical Learning book. The following equation is in page 120. It calculates the Hessian matrix for the log-likelihood function as follows begin{equation}...
Asked on 03/05/2021
1 answerI performed k-fold CV and measured the resulting average error (RMSE) for each fold. This was done with 5 folds, and 4 of the measurements gave similar errors (between 10%...
Asked on 03/05/2021 by MyName
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