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 Programmers Team, Lazy Programmers Inc. | 18 hours on-demand video course
Natural Language Processing Course Overview
Data Science: Transformers for Natural Language Processing
Welcome to Data Science: Transformers for Natural Language Processing Course. 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.
We’ve created multi-modal (text and image) models that can generate amazing art using only a text prompt. We’ve solved a longstanding problem in molecular biology known as “protein structure prediction” In this course, you will learn very practical skills for applying transformers, and if you want, detailed theory behind how transformers and attention work.
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
Recommended Natural Language Processing Course
Machine Learning: Natural Language Processing in Python (V2)
Machine Learning: Natural Language Processing in Python (V2)
Ever wondered how AI technologies like OpenAI ChatGPT, GPT-4, DALL-E, Midjourney, and Stable Diffusion really work? In this Machine Learning: Natural Language Processing in Python (V2) course, you will learn the foundations of these groundbreaking applications.
Natural Language Processing (NLP) in Python with 8 Projects
Natural Language Processing (NLP) in Python with 8 Projects
Complete Natural Language Processing (NLP) with Spacy & NLTK. This Natural Language Processing (NLP) in Python with 8 Projects course has 10+ Hours of HD Quality video, and following content. Welcome In this section we will get complete idea about what we are going to learn in the whole course and understanding related to natural language processing. Installation & Setup In this section we will get our online environment Google Colab setup. Basics of Natural Language Processing In this section we will dive into all basic NLP task like Tokenization, Lemmatization, stop word removal, name entity recognition, part of speech tagging, and see how to apply with different functions available in a Spacy and NLTK library.
Who this course is for
- Anyone who wants to master natural language processing (NLP)
- Anyone who loves deep learning and wants to learn about the most powerful neural network (transformers)
- Anyone who wants to go beyond typical beginner-only courses on Udemy
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Taught by Lazy Programmer Inc.
