BERT Model | Transfer Learning | Deep Learning - Neural Networks | Machine Learning | NLP | Part 2/3

BERT is the swiss army knife solution for 11 of the most common NLP tasks. It has an insane understanding of 70 global languages, including English. So, with Transfer Learning, we may use BERT as our base model, and fine-tune it for our specific NLP problem, like: sentiment analysis, article summarization, fake news detection, etc. With this, we have a production ready highly accurate model in no time. In this three part learning series, we shall discuss: - Basic intuition behind Transfer Learning, link: - Deep-dive into Google’s BERT Model for NLP, and finally, - We apply Transfer learning to build a Fake News Detection Model, using the pre-trained BERT Model as the base Happy learning :) 🔥 Resources: Project files: 🔥 Our other popular ML Projects: 1. Sentiment Analysis Project using LSTM: 2. Sentiment Analysis Project (End-to-end) with ML Model Building Deployment (using Flask): ---- a. Model Building: (Part-1) ---- b. Model Deployment: (Part-2) 3. Sentiment Analysis Project using Traditional ML: 4. Analytics-enabled Marketing: 5. Credit Scoring Project: 6. Face Recognition Project: 🔥 Do like, share & subscribe to our channel. Keep in touch: Discord Server: Email: skillcate@ Whatsapp: 91-7404139793 Medium: @skillcate GitHub: Facebook: Instagram: