Create a ML Notebook for CNN Hyperparameter Tuning
Budget: $30 – $250 USD
ML Notebook for CNN Hyperparameter Tuning
Skills and Experience Required:
- Proficiency in Python programming language
- Experience with convolutional neural network (CNN) architectures, specifically pre-trained models
- Knowledge of image classification techniques
Project Description:
I am looking for a skilled ML expert to create a ML notebook for hyperparameter tuning of a convolutional neural network (CNN). The notebook should be written in Python and should focus on using pre-trained CNN architectures for image classification.
Requirements:
1. Programming Language: Python
2. CNN Architecture: Pre-trained
3. Application: Image Classification
The ideal candidate for this project should have experience in Python programming, a strong understanding of CNN architectures, and expertise in image classification techniques.
Skills and Experience Required:
- Proficiency in Python programming language
- Experience with convolutional neural network (CNN) architectures, specifically pre-trained models
- Knowledge of image classification techniques
Project Description:
I am looking for a skilled ML expert to create a ML notebook for hyperparameter tuning of a convolutional neural network (CNN). The notebook should be written in Python and should focus on using pre-trained CNN architectures for image classification.
Requirements:
1. Programming Language: Python
2. CNN Architecture: Pre-trained
3. Application: Image Classification
The ideal candidate for this project should have experience in Python programming, a strong understanding of CNN architectures, and expertise in image classification techniques.