Tutorials > Introduction to Transformer for NLP with Python
Introduction to Transformer for NLP with PythonDate: 25 July 2022 | Posted by: voska89 |
![]() Published 07/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 33 lectures (7h 1m) | Size: 2.92 GB BERT, GPT, Deep Learning, Machine Learning, & NLP with Hugging Face, Attention in Python, Tensorflow, PyTorch, & Keras What you'll learn Chunking Bag of Words Hugging Face transformer POS tagging TF-IDF GPT-2 Token Classification BERT Stemming Lemmatization NER Preprocessing data Attention Fine-tuning Requirements Expert in Pytorch Expert in Recurrent Neural Network Expert in Python programming language Description Interested in the field of Natural Language Processing (NLP)? Then this course is for you! This course has been designed by a software engineer. I hope with the experience and knowledge I did gain throughout the years, I can share my knowledge and help you learn complex theories, algorithms, and coding libraries in a simple way. I will walk you step-by-step into the transformer which is a very powerful tool in Natural Language Processing. With every tutorial, you will develop new skills and improve your understanding of transformers in Natural Language Processing. This course is fun and exciting, but at the same time, we dive deep into transformer. Throughout the brand new version of the course, we cover tons of tools and technologies including Deep Learning. Google Colab Keras. Matplotlib. Splitting Data into Training Set and Test Set. Training Neural Network. Model building. Analyzing Results. Model compilation. Make a Prediction. Testing Accuracy. Confusion Matrix. Numpy. Pandas. Tensorflow. Chunking Bag of Words Hugging Face transformer POS tagging TF-IDF GPT-2 Token Classification BERT Stemming Lemmatization NER Preprocessing data. Attention Fine-tuning Moreover, the course is packed with practical exercises that are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models. There are several projects for you to practice and build up your knowledge. These projects are listed below Gender Identification. Sentiment Analyzer. Topic Modelling IMDB Project. QA project. Text generation project. Who this course is for Anyone interested in Deep Learning, Machine Learning and Artificial Intelligence Anyone passionate about Artificial Intelligence Anyone interested in Natural Language Processing Data Scientists who want to take their AI Skills to the next level Homepage DOWNLOAD LINK ![]() https://rapidgator.net/file/33103c101f049c289f495a13cfafb616/yheam.Introduction.to.Transformer.for.NLP.with.Python.part2.rar.html https://rapidgator.net/file/93ce8f72f39c4039051e5c2af9facd96/yheam.Introduction.to.Transformer.for.NLP.with.Python.part1.rar.html https://rapidgator.net/file/f2672859519ab5a55638e0fbed523db5/yheam.Introduction.to.Transformer.for.NLP.with.Python.part3.rar.html ![]() https://nitro.download/view/1FA542F47C47DDA/yheam.Introduction.to.Transformer.for.NLP.with.Python.part2.rar https://nitro.download/view/3D95657EB056A43/yheam.Introduction.to.Transformer.for.NLP.with.Python.part3.rar https://nitro.download/view/7E1392F973303D4/yheam.Introduction.to.Transformer.for.NLP.with.Python.part1.rar https://uploadgig.com/file/download/3B1A64bc7133b140/yheam.Introduction.to.Transformer.for.NLP.with.Python.part2.rar https://uploadgig.com/file/download/562210d5D01c0bc5/yheam.Introduction.to.Transformer.for.NLP.with.Python.part3.rar https://uploadgig.com/file/download/a302bfd1222209De/yheam.Introduction.to.Transformer.for.NLP.with.Python.part1.rar Links are Interchangeable - No Password - Single Extraction See full article |