In recent years, deep learning has revolutionized the field of computer vision with algorithms that deliver super-human accuracy on the above tasks. Below is a list of popular deep neural network models used in computer vision and their open-source implementation....
Examples of deep learning applications include speech recognition, image classification, and pharmaceutical analysis. How does machine learning work? Machine learning is comprised of different types of machine learning models, using various algorithmic techniques. Depending upon the nature of the data and ...
Use this list of 30+ elearning portfolio sample ideas for inspiration. Clearly, many people worked on their portfolio this year! Blogging 472 Blogging Examples Portfolio Sample 472 Sales Effectiveness: The B2B Sales Leader's Guide Advertiser: ZoomInfo You’ll get a deep dive on: Proven methods...
deepnvme evaluation inference scripts training .gitignore .pre-commit-config.yaml CODEOWNERS CODE_OF_CONDUCT.md LICENSE README.md SECURITY.md Latest commit NinoRisteski Update README.md (#727) Sep 11, 2023 44ade96·Sep 11, 2023 History ...
Here are examples of machine learning at work in our daily life that provide value in many ways—some large and some small. 1. Facial recognition Facial recognition is one of the more obvious applications of machine learning. People previously received name suggestions for their mobile photos and...
Here are examples of machine learning at work in our daily life that provide value in many ways—some large and some small. 1. Facial recognition Facial recognition is one of the more obvious applications of machine learning. People previously received name suggestions for their mobile photos and...
Retrain a pretrained SqueezeNet neural network to perform classification on a new collection of images. Time Series Forecasting Using Deep Learning Forecast time series data using a long short-term memory (LSTM) network. Applications Object Detection Using YOLO v4 Deep Learning Detect objects in images...
With rapid progress and significant successes in a wide spectrum of applications, deep learning is being applied in many safety-critical environments. However, deep neural networks (DNNs) have been recently found vulnerable to well-designed input samples called adversarial examples. Adversarial perturbatio...
In recent years, deep learning has shown performance breakthroughs in many applications, such as image detection, image segmentation, pose estimation, and speech recognition. However, this comes with a major concern: deep networks have been found to be vulnerable to adversarial examples. Adversarial ...
customer lifecycle. Edison Leon’s CRM Factory article provides an overview of AI, machine learning, deep learning, Big Data, and IoT. It also reflects on the Big Data & Analytics Innovation Summit Shanghai 2017 and shares the ways in which parent company M...