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3 votes

How are newer weight initialization techniques better than zero or random initialization?

3 votes
Accepted

What are the state-of-the-art meta-reinforcement learning methods?

3 votes

Have GANs been used to solve regression problems?

3 votes
Accepted

How to make DNN learn multiplication/division?

2 votes

Why do we average gradients and not loss in distributed training?

2 votes
Accepted

Solving the supervised learning problem of learning $p(y \vert \mathbf{x})$ by using traditional unsupervised technologies to learn $p(\mathbf{x}, y)$

2 votes
Accepted

Should I apply image processing techniques to the inputs of convolution networks?

1 vote

Do Seq2Seq models and the Bidirectional RNN do the same thing?

1 vote

What kind of optimizer is suggested to use for binary classification of similar images?

1 vote

Using sigmoid in LSTM network for multi-step forecasting

1 vote

Strategy of using intermediate layers of a neural network as features?

-1 votes

Are embeddings in multi-lingual language models comparable across languages?