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Results tagged with machine-learning
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user 95456
Machine learning algorithms build a model of the training data. The term "machine learning" is vaguely defined; it includes what is also called statistical learning, reinforcement learning, unsupervised learning, etc. ALWAYS ADD A MORE SPECIFIC TAG.
2
votes
How to intuitively understand difference between algorithmic adaptation vs problem transform...
Let's see.
Multi-label classification is the problem of assigning multiple labels (categories) to each input sample.
The classical example is blog posts and tags. Say you want to train an algorithm …
- 1,046
4
votes
Accepted
Problem in understanding Regularized Cost Function for neural neworks
The first term looks a normal cross-entropy loss function.
The second term is a regularization term. It increases the cost function to "punish" large values for weights. It's called L2 weight-decay ( …
- 1,046
7
votes
4
answers
7k
views
What is the best form (Gaussian, Multinomial) of Naive Bayes to use with categorical (one-ho...
I've been asked to use the Naive Bayes classifier to classify a couple of samples.
My dataset had categorical features so I had to first encode them using a one-hot encoder, but then I was at a loss …
- 1,046
0
votes
Quantify quality of multi label assignment
The most common evaluation metric for Multilabel tasks is, I believe, F1-score. There are two variants. Macro F1 is the average F1 score for all labels, while micro F1 score is the average F1 score fo …
- 1,046
1
vote
1
answer
165
views
Same exact model: converges with adagrad, diverges with adadelta
I have a very simple model built using Keras.
What strikes me as surprising is that the very same training configs converge (i.e. training loss goes down with every epoch) when the model uses the ada …
- 1,046
4
votes
1
answer
3k
views
NNs: Multiple Sigmoid + Binary Cross Entropy giving better results than Softmax + Categorica...
I am experimenting with classifying documents into one (and only one) of 20 classes ( 20_newsgroups dataset) using Keras.
I'm using standard TF-IDF features and .2 validation split for this setting.
…
- 1,046
14
votes
2
answers
24k
views
Simple Linear Regression in Keras
After looking at This question: Trying to Emulate Linear Regression using Keras, I've tried to roll my own example, just for study purposes and to develop my intuition.
I downloaded a simple dataset …
- 1,046