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Most of the Regularization (L1, L2 ) techniques focused mostly on the weight term only .But Regularization is not considering Bias.From my understanding large bias doesn’t make...
Asked on 11/19/2020 by BSP
2 answerKeras now provides advanced parametric activation layers like Leaky-ReLU PReLU.Each time I add this layer to a sequential model, an additional trainable parameter is added to graph. How can...
Asked on 11/19/2020 by Astro
0 answerI want to compute the precision, recall and F1-score for my binary KerasClassifier model, but don't find any solution. Here's my actual code: # Split dataset in train...
Asked on 11/19/2020 by ZelelB
5 answerI have a training dataset where we have to predict "Result" based on features "A", "B", "C" and "D" using machine learning. For a few rows, the "Result" is empty...
Asked on 11/18/2020 by Amethyst
1 answerI'm trying to build CNN to predict two-label classification problem. Unfortuenetely, I can't share my model architecture, but I compiled the model using:model.compile(optimizer=optimizers.Adam(lr=1e-3), ...
Asked on 11/18/2020 by jakes
0 answerI am training a classification CNN on a labeled dataset $langle x,yrangle$. The network reaches a 0.92% accuracy rate on testing and validation sets. After this process, I pre-process...
Asked on 11/17/2020
1 answerI'm trying to explain part of my recommendations based on item similarity.I have a trained model based on Item-Item cosine similarity that performs well. Given two items, ItemA and...
Asked on 11/17/2020 by Daniel Ben Zaken
0 answerI'm using Autoencoder for feature extracting. I stuck with how to choose good number of dimension of encoder layer (latent layer). After training dataset, the model gave the latent layer...
Asked on 11/17/2020
1 answerI am trying to classify gestures. I am using Python's scikit learn library classification algorithms for that. I have collected depth images for this purpose. 200 samples are collected for...
Asked on 11/16/2020 by user5507
3 answerDeep Q-learning, A3C, policies evolved with genetic algorithms, they all fail to learn Asteroids, or at least perform way worse than human. From the hardest Atari games according to RL...
Asked on 11/16/2020 by hipoglucido
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