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What is the right Pytorch RNN implementation?

nn.Linear should already learn an additive bias by default. This example implements RNN with no activation likely just for educational purposes, since that makes no ...
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Why can't I reproduce my results in keras using random seed?

Are you using a CPU or a GPU? If you are using a GPU, there is an additional source of randomness. To confirm this point, you can try to use TensorFlow with CPU only, or disable Cuda DNN but the model ...
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How to deal with different amounts of data every day?

One common option is to aggregate the embeddings of all the headlines. For example, you can compute the average of the embeddings and use the resulting 300-dim vector as input of the model.
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Weather impact on plant growth

It's difficult to guess which option is going to give the best results, since it depends on many factors in the data. This is feature engineering, and while there are some general principles it's not ...
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ValueError: Layer model expects 2 input(s), but it received 3 input tensors using generator

The problem is in the data_generator function. Do this: ...
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