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it will be the successor of nifty analysis with better prediction we know can predict the market situation but we can track leverage line or graph little bit by using machine learning
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there should be three seperate folders for ANN, CNN and RNN in deep learning which should include their documentation , functioning , hyperparameters and along with examples
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Add module for using pytorch RNNs. It might be able to subclass the current cnn.PytorchModel base class. (If it does, this suggests that class should be moved out of the cnn module)
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Hi there Lvella, great work coding rnn with the dlib framework.
Following your discussion with Davis King on https://github.com/davisking/dlib/issues/290
do you think dlib-rnn will be merged into dl…
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As I have described in the following issue on Stack Exchange, I fail to get good results using SimpleRNN to capture very basic 2-state linear system dynamics, which is surprising since the two should …
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### RNN 이해를 위한 자료:
* Understanding Hidden Memories of Recurrent Neural Networks
Yao Ming, Shaozu Cao, Ruixiang Zhang, Zhen Li, Yuanzhe Chen, Yangqiu Song, Huamin Qu
* https://kevinzakka.github.io/2…
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![image](https://user-images.githubusercontent.com/4729226/195747388-4a2f3e42-4d32-44d4-b455-4337fa41abf4.png)
![image](https://user-images.githubusercontent.com/4729226/195748181-e933181a-7898-4567-…
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```
import jax
import jax.numpy as jnp
from jax.experimental import rnn
batch_size = 8
input_size = 8
hidden_size = 4
num_layers = 1
bidirectional = True
num_directions = 2 if bidirectional…
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$ python demo.py
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcublas.so locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA libra…
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Implement [RNN](https://github.com/onnx/onnx/blob/main/docs/Operators.md#RNN) operator.