TensorFlow powers our custom ML model development — from image classification to predictive analytics for business applications.
TensorFlow is Google's open-source machine learning framework used by researchers and engineers to build and deploy ML models. Its Keras high-level API makes model development accessible, while TensorFlow Serving enables production deployment.
We use TensorFlow for custom model development when off-the-shelf AI APIs don't meet the requirement. Applications include image classification (document verification, product quality), fraud detection, churn prediction, and demand forecasting.
TensorFlow Serving, TensorFlow Lite, and TFX pipeline make deploying ML models to production straightforward.
Keras's high-level API allows rapid model prototyping without sacrificing the power of deep learning.
These technologies work seamlessly alongside TensorFlow in our project stack:
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