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Merge pull request #1487 from jasonrandrews/spelling
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content/learning-paths/cross-platform/pytorch-digit-classification-arch-training/_next-steps.md

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# ================================================================================
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next_step_guidance: >
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To continue exploring Maching Learning, you can now learn about using Keras Core with TensorFlow, PyTorch, and JAX backends.
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To continue exploring Machine Learning, you can now learn about using Keras Core with TensorFlow, PyTorch, and JAX backends.
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# 1-3 sentence recommendation outlining how the reader can generally keep learning about these topics, and a specific explanation of why the next step is being recommended.
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content/learning-paths/cross-platform/pytorch-digit-classification-arch-training/intro.md

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Meta AI have designed an Open Source deep learning framework called PyTorch, that is now part of the Linux Foundation.
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PyTorch provides a flexible and efficient platform for building and training neural networks. It has a dynamic computational graph that allows users to modify the architecture during runtime, making debugging and experimentation easier, and therefore makes it popular amongst developers.
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PyTorch provides a flexible and efficient platform for building and training neural networks. It has a dynamic computational graph that allows users to modify the architecture during runtime, making debugging and experimentation easier, and therefore makes it popular among developers.
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PyTorch provides a more flexible, user-friendly deep learning framework that reduces the limitations of static computational graphs found in earlier tools, such as TensorFlow.
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content/learning-paths/servers-and-cloud-computing/mongodb/mongodb_configuration.md

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- **port:** 27017 is the port used for replica sets
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- **maxIncomingConnections:** The maximum number of incoming connections supported by MongoDB
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**setParameter:** Addtional options
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**setParameter:** Additional options
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- **diagnosticDataCollectionDirectorySizeMB:** 400 is based on the docs.
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- **honorSystemUmask:** Sets read and write permissions only to the owner of new files
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- **lockCodeSegmentsInMemory:** Locks code into memory and prevents it from being swapped.

content/learning-paths/smartphones-and-mobile/profiling-ml-on-arm/_review.md

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- "No."
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correct_answer: 1
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explanation: >
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Yes, Android Studio has a built-in profiler that can be used to monitor the memory usage of your application, amongst other functions.
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Yes, Android Studio has a built-in profiler that can be used to monitor the memory usage of your application, among other functions.
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- questions:
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question: >

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