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Expand Up @@ -4,7 +4,7 @@
# ================================================================================

next_step_guidance: >
To continue exploring Maching Learning, you can now learn about using Keras Core with TensorFlow, PyTorch, and JAX backends.
To continue exploring Machine Learning, you can now learn about using Keras Core with TensorFlow, PyTorch, and JAX backends.

# 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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Expand Up @@ -11,7 +11,7 @@ layout: "learningpathall"

Meta AI have designed an Open Source deep learning framework called PyTorch, that is now part of the Linux Foundation.

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.
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.

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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Expand Up @@ -74,7 +74,7 @@ setParameter:
- **port:** 27017 is the port used for replica sets
- **maxIncomingConnections:** The maximum number of incoming connections supported by MongoDB

**setParameter:** Addtional options
**setParameter:** Additional options
- **diagnosticDataCollectionDirectorySizeMB:** 400 is based on the docs.
- **honorSystemUmask:** Sets read and write permissions only to the owner of new files
- **lockCodeSegmentsInMemory:** Locks code into memory and prevents it from being swapped.
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Expand Up @@ -20,7 +20,7 @@ review:
- "No."
correct_answer: 1
explanation: >
Yes, Android Studio has a built-in profiler that can be used to monitor the memory usage of your application, amongst other functions.
Yes, Android Studio has a built-in profiler that can be used to monitor the memory usage of your application, among other functions.

- questions:
question: >
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