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Build a non-English (German) BERT multi-class text classification model with HuggingFace and Simple Transformers.
Scale your machine learning models by using AWS Lambda, the Serverless Framework, and PyTorch. I will show you how to build scalable deep learning inference architectures.
Built an Object Detection Model with AWS AutoML library AutoGluon
Using the K-Fold Cross-Validation to improve your Transformers model validation by the example of BERT Text-Classification
Automatically deploy your Python function with dependencies in less than five minutes
Automatic deploy your React, Vue, Angular or Svelte app on s3 and create a cache Invalidation with Github Actions.
Getting started explanation to CNNs by calculating Yann LeCun LeNet-5 manually for handwritten digits and learning about Padding and Stride.