Need to build Lstm ,bilstm ,cnn, lstm+attention and resnet using 200×900 dimension for time series data of shape (1500,18000) for classification problem

В работе Опубликован 3 мес. назад Оплачивается при доставке
В работе Оплачивается при доставке

I am looking for a skilled developer to build various deep learning models for a classification problem involving time series data. The project requires expertise in Lstm, Bilstm, Cnn, Lstm+attention, and Resnet algorithms. The data has a shape of (1500,18000) and a dimension of 200x900.

Ideal Skills and Experience:

- Proficient in Python and deep learning frameworks such as TensorFlow and Keras

- Strong understanding of Lstm, Bilstm, Cnn, Lstm+attention, and Resnet algorithms

- Experience with time series data and classification problems

- Ability to achieve high accuracy in classification

- Detail-oriented and able to provide detailed documentation throughout the project.

Dataset will be provided

Python Machine Learning (ML) Java Интеллектуальный анализ данных Архитектура ПО

ID проекта: #36722928

О проекте

37 заявок(-ки) Удаленный проект Последняя активность 3 мес. назад

37 фрилансеров(-а) готовы выполнить эту работу в среднем за $190

schoudhary1553

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7.5
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Devrits

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6.4
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6.4
dvcontact

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5.8
merinsinha

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avinashdubeyg209

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veselidevelop

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3.2
muckgun

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