Data Science: Transformers for Natural Language Processing
Data Science: Transformers for Natural Language Processing
ChatGPT, GPT-4, BERT, Deep Learning, Machine Learning & NLP with Hugging Face, Attention in Python, Tensorflow, PyTorch
Product Brand: Udemy
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Udemy Coupon Code for Data Science: Transformers for Natural Language Processing Course. ChatGPT, GPT-4, BERT, Deep Learning, Machine Learning & NLP with Hugging Face, Attention in Python, Tensorflow, PyTorch
Created by Lazy Programmer Team and Lazy Programmer Inc. | 18.5 hours on-demand video course
Natural Language Processing Course Overview
Welcome to Data Science: Transformers for Natural Language Processing Course Coupons Code. Ever since Transformers arrived on the scene, deep learning hasn’t been the same. Machine learning is able to generate text essentially indistinguishable from that created by humans. We’ve reached new state-of-the-art performance in many NLP tasks, such as machine translation, question-answering, entailment, named entity recognition, and more.
What you’ll learn
- Apply transformers to real-world tasks with just a few lines of code
- Fine-tune transformers on your own datasets with transfer learning
- Sentiment analysis, spam detection, text classification
- NER (named entity recognition), parts-of-speech tagging
- Build your own article spinner for SEO
- Generate believable human-like text
- Neural machine translation and text summarization
- Question-answering (e.g. SQuAD)
- Zero-shot classification
- Understand self-attention and in-depth theory behind transformers
- Implement transformers from scratch
- Use transformers with both Tensorflow and PyTorch
- Understand BERT, GPT, GPT-2, and GPT-3, and where to apply them
- Understand encoder, decoder, and seq2seq architectures
- Master the Hugging Face Python library
- Understand important foundations for OpenAI ChatGPT, GPT-4, DALL-E, Midjourney, and Stable Diffusion
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