Deploy Python multilabel image classifier on laptop
Budget: $10 – $30 AUD
Project Title: Deploy Python multilabel image classifier on laptop
Operating System: Windows 10
Deadline: Within a week
Skills and Experience Required:
- Proficiency in Python 3.x programming language
- Experience with image classification algorithms and techniques
- Familiarity with TensorFlow 2.x
- Knowledge of deploying Cloud models on Windows local operating system
- Ability to optimize and fine-tune the classifier for efficient performance on a laptop
- Strong problem-solving and troubleshooting skills
Project Description:
Please deploy this multilabel classifier
https://www.kaggle.com/code/akhileshdkapse/nih-x-ray-multilabel-classification-tpu-guide/notebook
onto my local gaming laptop:
The laptop is ASUS ROG G752VT
GPU: Nvidia Geforce 970M
CPU: Intel i7
There is GPU memory bottleneck on the laptop. Please modify the code, so it can execute smoothly until the end, and produce the same result as given in the link tutorial. Longer execution time is okay (for example two days) but needs to reach completion and produce good accuracy.
Operating System: Windows 10
Deadline: Within a week
Skills and Experience Required:
- Proficiency in Python 3.x programming language
- Experience with image classification algorithms and techniques
- Familiarity with TensorFlow 2.x
- Knowledge of deploying Cloud models on Windows local operating system
- Ability to optimize and fine-tune the classifier for efficient performance on a laptop
- Strong problem-solving and troubleshooting skills
Project Description:
Please deploy this multilabel classifier
https://www.kaggle.com/code/akhileshdkapse/nih-x-ray-multilabel-classification-tpu-guide/notebook
onto my local gaming laptop:
The laptop is ASUS ROG G752VT
GPU: Nvidia Geforce 970M
CPU: Intel i7
There is GPU memory bottleneck on the laptop. Please modify the code, so it can execute smoothly until the end, and produce the same result as given in the link tutorial. Longer execution time is okay (for example two days) but needs to reach completion and produce good accuracy.