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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : NYC Agency Social Media Engagement using DL
:red_circle: **Aim** : The aim of this project is to analyz…
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Hello.
**How to make predictions via LSTM type recurrent neural networks algorithm ???**
_We don't see anywhere in the documentation how to use LSTM-like recurrent neural networks._
**How do …
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## ❓Question
I converted a simple nerual network containing LSTM from Pytorch to mlmodel, and set only the last fully-connected layer to be updatable. Using this updatable model, **I can run predicti…
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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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In financial derivatives hedging, feature extraction is locating and extracting useful data or features from raw data that may be utilized to make forecasts or choices. These characteristics may inclu…
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- [x] Neural networks
- [x] RNN
- [ ] LSTM
- [x] GAN
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### ML-Crate Repository (Proposing new issue)
:red_circle: **Project Title** : Text Emotion Detection
:red_circle: **Aim** : The aim is to predict emotion based on the text provided.
:red_circle: *…
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## Basic RNNs
Ch. 10: Sequence Modeling: Recurrent and Recursive Nets
Goodfellow et al.
https://www.deeplearningbook.org/
> Accessible blog post
Chris Olah
http://colah.github.io/posts/201…
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### ML-Crate Repository (Proposing new issue)
:red_circle: **Project Title** : Multi-Round Interpersonal Dialogues Text Data Analysis
:red_circle: **Aim** : The aim is to analyze the dataset using m…