Here is our plan of action: We will learn how to classify text using deep learning and without writing code. We will practice by building a classification ... the exact same process and model ...

Using a text classification ... random forests/decision trees, and deep learning models such as LSTM and BERT that also perform well on text classification tasks. Multinomial Naïve Bayes is ...

In most discussions, deep learning means using deep neural networks ... application of deep learning is image classification. Because living organisms process images with their visual cortex ...

In traditional semiconductor packaging, manual defect review after automated optical inspection (AOI) is an arduous task for operators and engineers, involving review of both good and bad die. It is ...

The results for this example were obtained using transfer learning with AlexNet, which is a deep CNN created for image classification. Transfer learning is the process of retraining an existing ...

Let’s move to build our intent classification service that we will call to populate keyword intents. In my previous deep learning ... we need to use a little trick to push this process to ...