Complex Deep Learning Model Prototype and Pipeline (MLOps)
Divya Gupta
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About this service
Summary
Develop and manage complex deep learning models with reinforcement learning, ensuring streamlined MLOps pipelines for efficient deployment.
Process
Meet to finalize technical details
Proposal submission after mutual agreements
Milestone delivery based on timelines decided in proposal
Feedbacks and changes
What's included
Architecture Development
Develop novel Model architecture specific for problem needs
Training Data and Infra
Data processing for training and testing GPU optimised codes (incase of Multiple GPUs)
Infrence and Hyperparameters Optimisation
Model Optimisation for faster and accurate infrences
Skills and tools
ML Engineer
AI Model Developer
AI Developer
CUDA
Generative adversarial networks (GANs)
OpenAI
PyTorch
TensorFlow
Industries
Analytics
Business Intelligence
Artificial Intelligence (AI)
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