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Results tagged with machine-learning
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user 172360
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.
3
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0
answers
2k
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When, if at all, to reset the state of an LSTM when training and when testing?
I am building an LSTM that takes in time-series financial data. My dataset is made up of IDs (each ID is a certain stock), and timestamps. For each ID at each timestamp, there are a number of features …
- 465
2
votes
1
answer
367
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Do I need training data in multiple languages for a multilingual transformer?
I am attempting to train a transformer which can categorize sentences into one of n categories. This model should be able to work with a number of different languages - English and Arabic in my case.
…
- 465
1
vote
1
answer
290
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Multilayer Perceptron works fine with sigmoid activations, but not with hyperbolic tangent
I have written a simple MLP with one single layer. When learning the XOR function using sigmoid activations, the loss reduced consistently. However, if I change the labels of the XOR data from [0, 1] …
- 465
4
votes
1
answer
6k
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What is the purpose of unrolling an LSTM into multiple time steps if you can just use a stat...
As far as I understand the follwoing two models are essentially identical:
Having a stateful LSTM with just a single time step and passing 10 time-series data points into it one by one, and using th …
- 465
1
vote
1
answer
1k
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Training and testing an autoencoder on very sparsely populated data
I am exploring the possibility of using a deep autoencoder neural net to build a recommender system. I am firstly testing the model's performance on the traditionally used benchmark of the Movielens d …
- 465
2
votes
1
answer
518
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Testing an LSTM making predictions 1 timestep into the future
Say I have a time series data set of 100 sequential timesteps, and I want to train and test an LSTM on the data set, but only on forecasting a single timestep into the future.
I want more than one p …
- 465