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
Getting started explanation to CNNs by calculating Yann LeCun LeNet-5 manually for handwritten digits and learning about Padding and Stride.
A Short Introduction to Google Colab as a free Jupyter notebook service from Google. Learn how to use Accelerated Hardware like GPUs and TPUs to run your Machine learning completely for free in the cloud.