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
Budget: $30 – $250 USD
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
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