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Hi,
I would like to ask about the MTL architectures. I'm trying to visualize the two MTL architectures provided in this repo. The first one is "Train_MultiTask." In this architecture, The POS and ch…
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### Feature Summary
I'd like to contribute to FinVeda by implementing a machine learning module that can predict financial trends, stock prices, and customer behavior. This module will leverage popul…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Facial Skin Diseases Classification using DL
:red_circle: **Aim** : The aim of this project is to class…
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I am trying to reproduce the results of the demo using the pretrained model with the script 'ROLO_network_test_all.py' but I am running into difficulty building the graph using TensorFlow 0.11.
The f…
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## 作者
- Andrej Karpathy
- Justin Johnson
- Li Fei-Fei
## 发表时间
2015 年
## 摘要
Recurrent Neural Networks (RNNs), and specifically a variant with Long Short-Term Memory (LSTM), are enjoyin…
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paper says:where φ are the parameters of the value network, θ the parameters of the policy network, and η and α
are Lagrange multipliers. In practice, the policy and value networks share most of thei…
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## 0. Paper
@incollection{NIPS2014_5346,
title = {Sequence to Sequence Learning with Neural Networks},
author = {Sutskever, Ilya and Vinyals, Oriol and Le, Quoc V},
booktitle = {Advances in Neural…
a1da4 updated
4 years ago
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https://ieeexplore.ieee.org/abstract/document/8356346/
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The Keras backend is Tensorflow, and the model comes from Keras example: https://github.com/keras-team/keras/blob/master/examples/imdb_lstm.py
I am trying to convert Keras model (*.h5) to freeze gr…
hozen updated
6 years ago
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LSTM is usually used to sequence task, What is the reason that LSTM could success to aggretate neighbor features which has no sequence dependence?