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Description: Develop a neural network-based system to provide highly accurate property valuations based on a wide range of factors and historical data.
Tasks to Accomplish:
Design the property v…
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I will use the Rice Leaves image dataset to
train the CNN Model to predict the disease.
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Paper _Neural Machine Translation with Word Predictions_ by Weng et al. (https://arxiv.org/pdf/1708.01771.pdf) improves the decoder training by adding an additional objective by predicting the remaini…
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🔍 Problem Description:
In the banking industry, it is critical to predict which customers are at risk of leaving to develop retention strategies and prevent revenue loss. This project, titled Custome…
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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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**Describe the bug**
Hi - fresh install crashes here. (Had to force numpy=1.26.4 due to what appears to be a bug in the newly released 2.0.0). Why trying to OCR a png:
Running OSX 14.0 on an M2…
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Problem Description
The goal is to develop a robust model for classifying various eye diseases using Recurrent Neural Networks (RNN). Early and accurate detection of eye diseases is crucial for eff…
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I have the data of financial transactions and I am trying to fit a neural network to it. Here is some background on the data.
I have stored it in a dataframe which has date as index and transaction…
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请问，您能分享一下CSJ和CSC的数据嘛，我在这个“Vpalg: Paper-publication Prediction with Graph Neural Networks”中没看到相关的可用链接。