
Build and Train Custom Deep Learning Model (PyTorch/TensorFlow)
Delivery in
1 day
- Views 15
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Average time for the freelancer to first reply on the workstream after purchase or contact on this Offer.
What you get with this Offer
Do you need a powerful AI solution for your project? I specialize in building, training, and deploying deep learning models tailored to your needs. I can create models for NLP, computer vision, recommendation systems, or custom AI solutions, and integrate them into your application.
What I offer:
Custom Deep Learning Models: Build from scratch or fine-tune pre-trained models.
AI Model Training & Optimization: Data preprocessing, augmentation, and hyperparameter tuning.
Model Integration: Deploy AI models via API, bots, or applications.
RAG & Knowledge-Based AI: Implement context-aware AI using vector databases (Pinecone, ChromaDB, Supabase).
Deployment & Support: Ensure your AI model runs efficiently on your server or cloud.
Why Choose Me:
Professional communication and updates throughout the project.
Full end-to-end AI development and deployment.
Solutions optimized for accuracy, efficiency, and your specific requirements.
What I offer:
Custom Deep Learning Models: Build from scratch or fine-tune pre-trained models.
AI Model Training & Optimization: Data preprocessing, augmentation, and hyperparameter tuning.
Model Integration: Deploy AI models via API, bots, or applications.
RAG & Knowledge-Based AI: Implement context-aware AI using vector databases (Pinecone, ChromaDB, Supabase).
Deployment & Support: Ensure your AI model runs efficiently on your server or cloud.
Why Choose Me:
Professional communication and updates throughout the project.
Full end-to-end AI development and deployment.
Solutions optimized for accuracy, efficiency, and your specific requirements.
Get more with Offer Add-ons
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I can build and train machine learning and deep learning model
Requires no additional time
+$20
What the Freelancer needs to start the work
What I Need to Get Started:
A brief description of your AI project and goals.
Your dataset (text, images, or other data) and any labeling instructions.
Access credentials if deployment is required (API keys, server, or bot tokens).
Any preferences for frameworks, libraries, or model features.
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