Spread the love“`html Keras has emerged as one of the most popular deep learning libraries in recent years, notable for its simplicity and ease of use. Whether you’re a seasoned data scientist or a ...

Google Colab has taken the data science community by storm. This powerful tool, developed by Google, allows users to write and execute Python code in a web-based environment, making it exceptionally ...

Abstract: In recent years, the need for the efficient deployment of Neural Networks (NN) on edge devices has been steadily increasing. However, the high computational demand required for Machine ...

Abstract: Deep neural networks (DNNs) are widely used for image recognition, speech recognition, pattern analysis, and intrusion detection. Recently, the adversarial example attack, in which the input ...

This contains examples, scripts and code related to image classification using TensorFlow models (from here) converted to TensorRT. Converting TensorFlow models to TensorRT offers significant ...

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 ...

Machine learning is a complex discipline but implementing machine learning models is far less daunting than it used to be. Machine learning frameworks like Google’s TensorFlow ease the process of ...

Binary classification is a type of supervised learning problem where the goal is to predict a binary outcome (0 or 1) for a given input. For example, a binary classification problem could be to ...

This is an example application for TensorFlow Lite on Android. It uses video classification to continuously classify whatever it sees from the device's back camera. Inference is performed using the ...