From ea143a23b5896569e700616393b2770e262fbb23 Mon Sep 17 00:00:00 2001 From: Jason Andrews Date: Tue, 31 Dec 2024 12:53:31 -0600 Subject: [PATCH] spelling fixes --- .../pytorch-digit-classification-arch-training/_next-steps.md | 2 +- .../pytorch-digit-classification-arch-training/intro.md | 2 +- .../mongodb/mongodb_configuration.md | 2 +- .../smartphones-and-mobile/profiling-ml-on-arm/_review.md | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/content/learning-paths/cross-platform/pytorch-digit-classification-arch-training/_next-steps.md b/content/learning-paths/cross-platform/pytorch-digit-classification-arch-training/_next-steps.md index 4c12b745e1..2696479e68 100644 --- a/content/learning-paths/cross-platform/pytorch-digit-classification-arch-training/_next-steps.md +++ b/content/learning-paths/cross-platform/pytorch-digit-classification-arch-training/_next-steps.md @@ -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. diff --git a/content/learning-paths/cross-platform/pytorch-digit-classification-arch-training/intro.md b/content/learning-paths/cross-platform/pytorch-digit-classification-arch-training/intro.md index 9d61aacf4b..0d70ca8c4c 100644 --- a/content/learning-paths/cross-platform/pytorch-digit-classification-arch-training/intro.md +++ b/content/learning-paths/cross-platform/pytorch-digit-classification-arch-training/intro.md @@ -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. diff --git a/content/learning-paths/servers-and-cloud-computing/mongodb/mongodb_configuration.md b/content/learning-paths/servers-and-cloud-computing/mongodb/mongodb_configuration.md index ca9c06906b..16a28ac703 100644 --- a/content/learning-paths/servers-and-cloud-computing/mongodb/mongodb_configuration.md +++ b/content/learning-paths/servers-and-cloud-computing/mongodb/mongodb_configuration.md @@ -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. diff --git a/content/learning-paths/smartphones-and-mobile/profiling-ml-on-arm/_review.md b/content/learning-paths/smartphones-and-mobile/profiling-ml-on-arm/_review.md index 451c2b0447..4b34f78b04 100644 --- a/content/learning-paths/smartphones-and-mobile/profiling-ml-on-arm/_review.md +++ b/content/learning-paths/smartphones-and-mobile/profiling-ml-on-arm/_review.md @@ -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: >