You will get deep learning with neural networks in PyTorch machine LRN
You will get deep learning with neural networks in PyTorch machine LRN
Advanced
I will process the missing data, create training/evaluation/test sets
- Delivery Time 3 days
- Number of Revisions 2
- Number of Model Variations 2
- Number of Scenarios 4
- Number of Graphs/Charts 1
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
3 days
delivery —
Oct 13, 2024
Revisions may occur after this date.
Upwork Payment Protection
Fund the project upfront. Lora gets paid once you are satisfied with the work.
Project details
Every project is different; some may require a deep dive into the data, some may require dimensionality reduction, and some may require heavy feature engineering ...... Let's discuss your project and find the best way to move it forward. I will process the missing data, create training/evaluation/test sets, stratify as needed, perform transformations on all non-numeric variables so the algorithm can use them, perform statistical transformations on the dependent variable (if numeric), etc. Once the data is ready, I will create a deep neural network (feedforward, convolutional, or recurrent, depending on the problem) on PyTorch, configured to take advantage of the available GPU, otherwise moving to the CPU. I will export the model and expose it publicly or locally via a RESTful API if needed
Machine Learning Tools
SQL$650
- Delivery Time 3 days
- Number of Revisions 2
- Number of Model Variations 2
- Number of Scenarios 4
- Number of Graphs/Charts 1
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
About Lora
I will do deep learning with neural networks in pytorch machine lrn
Gilbert, United States - 2:06 am local time
I will handle missing data, create Training/Evaluation/Testing sets, stratified if needed, perform transformations on all non-numeric variables so the algorithms can work with them, perform statistical transformations on the dependent variable (if numeric), and more.
After the data is ready, I will create a Deep Neural Network (Feed-Forward, Convolutional or Recurrent, depending on the problem) on PyTorch configured to take advantage of a GPU if available, or else go to the CPU.
I will export the model, and expose it either publically or locally through a RESTful API, if needed.
Steps for completing your project
After purchasing the project, send requirements so Lora can start the project.
Delivery time starts when Lora receives requirements from you.
Lora works on your project following the steps below.
Revisions may occur after the delivery date.
Send detailed documentation of your work with requirements
You need to send me the detailed documents and requirements of your work, and I will complete the work according to your requirements and deliver it to you upon completion.