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It seems than Bidirectional Rnn and multi-layer Rnn can't be supported? Do you have plans to support these?
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## Overview
This project aims to predict loan defaults using deep learning techniques. The system utilizes Multi-Layer Perceptron (MLP), Convolutional Neural Networks (CNN), and Recurrent Neural Ne…
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For now only 1 input/output is supported for rnn, lstm, gru layer.
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### 📚 The doc issue
The code snippet in PyTorch docs for [`nn.RNN`](https://pytorch.org/docs/stable/generated/torch.nn.RNN.html#torch.nn.RNN) seems to have a mistake.
Inside the `forward` functio…
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Hello
I request another type of multi-layer bidirectional RNN.
Currently forward output and backward output is concatenated after each layer.
But, for language modeling, we need independent forwar…
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Need to at least expose a spectrogram audio feature extraction. There is code for mel spectrogram in emlearn, so that would be the primary candidate https://emlearn.readthedocs.io/en/stable/eml_audio.…
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zss@zss:~/DA-RNN$ ./experiments/scripts/rgbd_scene_multi_*.sh $GPU_ID
+ set -e
+ export PYTHONUNBUFFERED=True
+ PYTHONUNBUFFERED=True
+ export CUDA_VISIBLE_DEVICES=./experiments/scripts/rgbd_scene…
zssjh updated
6 years ago
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Good understanding of deep learning architectures like Multi-Layer Perceptron, Recurrent Neural Networks (RNNs), Long Short Term Memory models (LSTMs), Gated Recurrent Units (GRUs), and Convolutional …
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Hi this is MJ - I've been attempting to load my custom trained model (that I know outputs melodies and training works based on my manual method) to respond to the MagentaJS tutorial. When I run throug…
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hi Abraham and first of all, thank you for your amazing job... i have a couple of question:
- what's the purpose of the back up?
why in some particular cases you perform a backup? is it necessary …