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TensorFlow and PyTorch are the go-to frameworks for building and deploying deep learning models on the Orin Nano. These frameworks provide everything you need to build, train, and deploy your AI models. TensorFlow is widely used and well-documented, with a large community of users and developers. PyTorch is known for its flexibility and ease of use, particularly in research and experimentation. *Choose the framework that best suits your familiarity and project requirements*. Both frameworks are optimized for NVIDIA GPUs, so you can take full advantage of the Orin Nano’s processing power. To get started, install the appropriate version of the framework for your JetPack version and start experimenting with pre-trained models or training your own.
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The investigation into the Galveston shooting is a complex and ongoing process. **Law enforcement agencies** are working diligently to gather all the facts, analyze evidence, and bring those responsible to justice. *The investigation* involves several key components, including forensic analysis of the crime scene, interviews with witnesses, and a review of any available surveillance footage. Detectives are meticulously piecing together the events leading up to the shooting, as well as the immediate aftermath, to gain a comprehensive understanding of what occurred. The cooperation between local, county, and state law enforcement agencies is crucial in ensuring a thorough and effective investigation. This collaborative approach allows for the pooling of resources and expertise, enhancing the ability to solve the case.
