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Hi. Please tell me. I'm new in neural networks. I created a neural network architecture for the prediction of 0 or 1. First, the neural network works well - can make a mistake more than 5 times in a r…
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**Installation**
https://medium.com/@vivek.yadav/deep-learning-setup-for-ubuntu-16-04-tensorflow-1-2-keras-opencv3-python3-cuda8-and-cudnn5-1-324438dd46f0
**Introduction to Statistics for Data S…
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Material Outline for notebook #3
* Introducing Radiation Emulation Dataset
* Overview (topoography) of machine learning algorithms/techniques
* Decision Trees and Derivatives
* Neural Networks
…
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# ablation studies of gates
- Chung, Junyoung, et al. "Empirical evaluation of gated recurrent neural networks on sequence modeling." arXiv preprint arXiv:1412.3555 (2014).
- Greff, Klaus, et al. "LST…
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Implements a couple of variants of LSTM. Then let's create some example neural networks with that (e.g., modify the existing MNIST RNN to use LSTM). If not and if no libraries offer a good alternative…
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### Generalno za veštačke neuronske mreže
**Kolekcija raznih materijala za deep learning (ažurira se redovno)**
https://github.com/ChristosChristofidis/awesome-deep-learning
**Stanfordov kurs CS231n…
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Hi,
Your LSTM implementation is fantastic.
It is the best clean c++ code for education purpose that I have seen.
I am beginner in neural networks and I was looking for something as this to help…
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### Base Classes
- [x] [nn::Module](https://github.com/arrayfire/arrayfire-ml/pull/30)
- [x] [autograd::Variable](https://github.com/arrayfire/arrayfire-ml/pull/30)
- [x] [Solver](https://github.co…
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Hello,
I downloaded your project and tried to replace the CNN-LSTM with different networks. However, I've found that regardless of the model used, it's quite challenging to accurately distinguish be…