Introduction to Transfer Learning | Machine Learning | NLP & Computer Vision | Part 1/3
As humans, we have this inherent ability to transfer knowledge across tasks. For example: if you already know how to ride a bicycle, you can learn how to drive a motorcycle more easily with some fine-tuning on controlling the engine power. That’s precisely what Transfer Learning is.
This is a three part transfer learning series, where we have covered:
Basic intuition behind Transfer Learning, link: • Introduction to Transfer Learning | Machin...
Deep-dive into Google’s BERT Model for NLP: • BERT Model | Transfer Learning | Deep Lear... , and finally,
Build a Fake News Detection Model, using the pre-trained BERT Model: • Fake News Detection Project with BERT Fine...
Happy learning :)
🔥 Resources:
Project files: https://drive.google.com/drive/folder...
Our other popular ML Projects:
1. Sentiment Analysis Project using LSTM: • Sentiment Analysis with LSTM | Deep Learni...
2. Sentiment Analysis Project (End-to-end) with ML Model Building + Deployment (using Flask):
---- a. Model Building: • Sentiment Analysis Machine Learning Projec... (Part-1)
---- b. Model Deployment: • PIP + Virtual Environment | Flask Deployme... (Part-2)
3. Sentiment Analysis Project using Traditional ML: • Sentiment Analysis Project using Machine L...
4. Analytics-enabled Marketing: • Marketing Analytics Project using Machine ...
5. Credit Scoring Project: • Credit Scoring Project using Machine Learn...
6. Face Recognition Project: • Face Detection Machine Learning Project | ...
🔥 Do like, share & subscribe to our channel. Keep in touch:
Discord Server: / discord
Email: [email protected]
Whatsapp: +91-7404139793
Medium: / skillcate
GitHub: https://github.com/skillcate
Facebook: / mlprojects
Instagram: / skillcate
Смотрите видео Introduction to Transfer Learning | Machine Learning | NLP & Computer Vision | Part 1/3 онлайн без регистрации, длительностью часов минут секунд в хорошем качестве. Это видео добавил пользователь Skillcate AI 06 Сентябрь 2022, не забудьте поделиться им ссылкой с друзьями и знакомыми, на нашем сайте его посмотрели 2,610 раз и оно понравилось 70 людям.