Data Science: Transformers for Natural Language Processing
Coupon Verified on December 2nd, 2024
Course Name : Data Science: Transformers for Natural Language Processing
Students : 7,825
Duration : 18.5 hours
Avg Rating : 4.5 (2,436 ratings)
Original Price : $119.99
Discount Price : $25
Instructor / Provider : Udemy
Course Type : Self Paced Online Course. Lifetime Access
Coupon : Click on ENROLL NOW to apply discount code
What you’ll learn
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Apply transformers to real-world tasks with just a few lines of code
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Fine-tune transformers on your own datasets with transfer learning
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Sentiment analysis, spam detection, text classification
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NER (named entity recognition), parts-of-speech tagging
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Build your own article spinner for SEO
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Generate believable human-like text
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Neural machine translation and text summarization
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Question-answering (e.g. SQuAD)
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Zero-shot classification
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Understand self-attention and in-depth theory behind transformers
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Implement transformers from scratch
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Use transformers with both Tensorflow and PyTorch
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Understand BERT, GPT, GPT-2, and GPT-3, and where to apply them
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Understand encoder, decoder, and seq2seq architectures
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Master the Hugging Face Python library
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Understand important foundations for OpenAI ChatGPT, GPT-4, DALL-E,
Deal Score-1
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FAQs on Udemy Coupon
Are there any limitations to access udemy coupon Code?
Yes, Data Science: Transformers for Natural Language Processing coupon code is valid for the first 1,000 enrollments or for 30 days, whichever comes first. After that, the coupon will expire.
Is Data Science: Transformers for Natural Language Processing free download available?
No, you cannot download Udemy course directly from the website. However, Udemy’s mobile app for iOS and Android allows you to download courses for offline viewing within the app.
Can I get a refund for the Data Science: Transformers for Natural Language Processing course, If I purchased with a coupon?
Yes, Udemy offers a 30-day money-back guarantee for all courses purchased on the website, even if you used a coupon to purchase the course.
