Business Profile
Keras provides a deep learning API designed for human beings, focusing on debugging speed, code elegance and conciseness, maintainability, and deployability, with multi-backend support across JAX, TensorFlow, and PyTorch.
Machine learning engineers, researchers, and developers looking to build, train, and deploy models across frameworks using an easy-to-read, maintainable API.
A human-centric DL API with true multi-backend flexibility (JAX, TensorFlow, PyTorch) and a rich ecosystem (KerasHub, KerasRS, KerasTuner) plus extensive guides and code examples.
Not explicitly stated; onboarding uses pip install --upgrade keras and backend installations; value can be realized after configuring a backend (potentially within hours to days).
Keras is trusted by CERN, NASA, NIH and used at the Large Hadron Collider for scientific research and production workloads.
Keras is used by Waymo to support its autonomous driving technology.
Keras is a deep learning API designed to be human-friendly with multi-backend support (JAX, TensorFlow, PyTorch), a rich ecosystem (KerasHub, KerasRS, KerasTuner), and extensive developer guides and code examples.
Machine learning engineers, researchers, and developers; organizations like CERN, NASA, NIH, and Waymo; users of Kaggle/HuggingFace tools.
A human-centric, multi-backend DL API with a thriving ecosystem that accelerates model development, experimentation, and deployment across frameworks and platforms.
Python environment; pip install --upgrade keras; backend options: JAX, TensorFlow, PyTorch; configure backend before importing Keras; Colab/Kaggle GPU guidance; CUDA drivers and per-backend CUDA compatibility; environment variable KERAS_BACKEND in Colab (e.g., 'jax').
Not disclosed
Based on matching: problems solved, target roles, key features, industries
SentientJobs provides a comprehensive job board for AI, human, and hybrid positions, helping individuals find career opportunities in the evolving workforce landscape.
Coursera provides extensive online learning opportunities from top universities and industry leaders, enabling individuals to gain new skills, earn degrees, and access career advancement resources.
Hugging Face provides a collaborative platform for the machine learning community to create, discover, and collaborate on AI models, datasets, and applications.
TensorFlow provides an end-to-end open source machine learning platform that enables easy creation and deployment of ML models across various environments.
NVIDIA Developer provides cutting-edge tools and resources for developers to accelerate AI and data science workflows through GPU acceleration.
Kaggle provides a platform for data science and machine learning practitioners to collaborate, compete, and learn from a global community.
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