I will build deep learning models with pytorch and tensorflow
AI ML Developer, Python, OCR, Computer Vision and Data Processing
About this Gig
I will build, train, evaluate, and optimize custom deep learning models using PyTorch and TensorFlow based on your dataset and project requirements.
I can help with:
- Neural network development
- Image classification
- CNN models
- Data preprocessing
- Model training and validation
- Transfer learning
- Hyperparameter tuning
- Model testing and optimization
- Performance metrics and visualizations
- Python source code
- Jupyter Notebook or Google Colab delivery
- Documentation based on your package
I work with Python, PyTorch, TensorFlow, Keras, Pandas, NumPy, OpenCV, and related deep learning tools.
I focus on clean, practical, and reproducible solutions. Model performance depends on the quality, size, and complexity of the dataset, so I do not promise unrealistic accuracy.
Please message me before ordering so I can review your dataset and recommend the right approach.
Programming language:
Python
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
Colab
Frameworks:
Keras
•
PyTorch
•
Panda
•
TensorFlow
Other Data Science & ML Services I Offer
FAQ
What do you need from me before starting?
Please share your dataset, task description, expected output, and any specific model or framework requirements.
What types of deep learning models can you build?
I can work on neural networks, CNN-based models, image classification, transfer learning, and other custom deep learning tasks.
Do you work with both PyTorch and TensorFlow?
Yes. I can use PyTorch, TensorFlow, or Keras depending on the project requirements.
Will I receive the source code?
Yes. Source code is included according to the package you choose.
Can you guarantee a specific accuracy?
No. Accuracy depends on the dataset quality, size, labels, and task complexity. I will aim to build and evaluate a suitable model and provide clear results.
Should I contact you before ordering?
Yes. Please message me first so I can review the scope and recommend the correct package.
