All Questions
6 questions
0votes
1answer
385views
Sklearn vs Pytorch vs Tensorflow vs Keras
I just need to understand the differences between sklearn, pytorch, tensorflow and keras in terms which implements traditional machine learning algorithms ( Linear regression , knn, decision trees, ...
1vote
0answers
2kviews
Equal error rate for multiclass (non-binary) classifier
In many biometrics identification papers they measure they performance by computing Equal Error Rate (EER). When dealing with verification problem, or any other binary classification problem - the ...
- 123
0votes
1answer
31views
Tensorflow for Deeplearning and Machine learrning
We can use TensorFlow for both machine learning and deep learning. So why do we use scikit-learn more in machine learning and not TensorFlow? Are they both alternatives of each other?
user123037
2votes
1answer
7kviews
n_jobs = -1 equivalent in keras
I have recently started learning deep learning. In machine learning using sklearn library with n_jobs = -1 all my cpu cores are used and this speeds the grid search. Now I am trying to fit an rnn ...
- 565
1vote
2answers
634views
Metrics values are equal while training and testing a model
I'm working on a neural network model with python using Keras with TensorFlow backend. Dataset contains two sequences with a result which can be 1 or 0 and positives to negatives ratio in dataset is 1 ...
3votes
2answers
1kviews
Softmax: Different output scikit-learn and TensorFlow
I'm trying to learn a simple linear softmax model on some data. The LogisticRegression in scikit-learn seems to work fine, and now I am trying to port the code to TensorFlow, but I'm not getting the ...
- 250
