Abstract: For highly distributed environments such as edge computing, collaborative learning approaches eschew the dependence on a global, shared model, in favor of models tailored for each location.

In my last tutorial, you created a complex convolutional neural network from a pre-trained inception v3 model. In this tutorial, you’ll learn the architecture of a convolutional neural network (CNN), ...

Classifying video presents unique challenges for machine learning models. As I’ve covered in my previous posts, video has the added (and interesting) property of temporal features in addition to the ...

BONUS: Custom Object Counting Mode (TensorFlow implementation): You can train TensorFlow models with your own training data to built your own custom object counter system! If you want to learn how to ...

Diabetic retinopathy is a serious concern for people dealing with diabetes. Detecting diabetic retinopathy poses significant challenges, requiring skilled professionals, extensive manual image ...

TensorFlow is one of the best software libraries suited for AI and machine learning. It was developed by the Google Brain Team by partnering with Google’s machine intelligence research organization.

The tuning of a pre-trained model is a crucial application for transfer learning in machine learning. It is a process of learning to re-adjust initially pre-trained models, with some big datasets, to ...

TensorFlow has emerged as one of the most popular frameworks for building machine learning models. Whether you are a beginner or an experienced data scientist, understanding how to build AI models ...