Transfer Learning

Machine Learning

How to Retrain SSD Object Detection Model with Pytorch PART – 1

Interesting tutorial on transfer learning. Transfer Learning with Pytorch Transfer learning is a technique for re-training a DNN model on a new dataset, which takes less time than training a network from scratch. With transfer learning, the weights of a pre-trained model are fine-tuned to classify a customized dataset. In these examples, we’ll be using […]

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Natural Language Processing

Intro to Natural Language Processing (NLP)

This course provides an introduction to the field of Natural Language Processing (NLP) with a focus on sentiment analysis and text classification using artificial neural networks. In this lesson, we’ll get introduced to the field of Natural Language Processing, otherwise known simply as NLP.

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AI Neural Networks

Transfer learning and Transformer models (ML Tech Talks)

In this session of Machine Learning Tech Talks, Software Engineer from Google Research, Iulia Turc, will walk us through the recent history of natural language processing, including the current state of the art architecture, the Transformer.

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