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README grammar fixes

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@@ -21,7 +21,7 @@ Create and deploy to production a simple neural network for Computer Vision
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  # First Model
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- The first model available and deployed considers a simple 2D image, taken from the MNIST Dataset. Refeer to [_High-Performance Neural Networks
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  for Visual Object Classification_](https://arxiv.org/pdf/1102.0183.pdf) for further details on the dataset.
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- The CI/CD process will use the default Github pipeline using the available [Github Actions features](https://github.blog/2022-02-02-build-ci-cd-pipeline-github-actions-four-steps/). The training process will use the MLFLow framework, to cather and track the necessary metrics and log accordingly. Refeer to the [docs](https://mlflow.org/docs/latest/quickstart.html) for further details.
 
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  # First Model
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+ The first model available and deployed considers a simple 2D image, taken from the MNIST Dataset. Reefer to [_High-Performance Neural Networks
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  for Visual Object Classification_](https://arxiv.org/pdf/1102.0183.pdf) for further details on the dataset.
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+ The CI/CD process will use the default Github pipeline using the available [Github Actions features](https://github.blog/2022-02-02-build-ci-cd-pipeline-github-actions-four-steps/). The training process will use the MLFLow framework, to cather and track the necessary metrics and log accordingly. Reefer to the [docs](https://mlflow.org/docs/latest/quickstart.html) for further details.