Deep Learning – How to build a successful career in AI?
Preparing for a career in deep learning involves acquiring both theoretical knowledge and practical skills in the field. Here’s a step-by-step guide.
Deep Learning Series
Edge AI: Deep Neural Network Model Training and Deployment Process
The process of training and deploying a Deep Neural Network model to a target device can be divided into the following phases
Identify and Download the Model source
Train the model on a Host with GPUs
Fine-tune the model
Quantize the model for Target Device
Deploy the model to the target device
Applications of Deep Learning and Machine Learning?
In this article we will look at some of the application areas of Deep Learning contrasted with Machine learning. Deep learning has become an increasingly popular area of research in recent years, thanks in part to its ability to learn from large amounts of data and perform complex tasks with high accuracy.
While deep learning has become an increasingly popular area of research in recent years, traditional machine learning algorithms still have a wide range of applications.
Understanding Deep Learning and Machine Learning
Deep learning and machine learning are two terms often used interchangeably, but they are not the same thing. While both are subsets of artificial intelligence, they have their own unique characteristics, techniques, and applications. Machine learning (ML) is a type of artificial intelligence that allows machines to learn from data and improve their performance on …
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