OpenCourser brand icon
Sign in
We may earn an affiliate commission when you visit our partners.
Course image
Udemy logo

Deep Learning

Natural Language Processing with Transformers

Neuralearn Dot AI

Deep Learning is a hot topic today. This is because of the impact it's having in several industries. One of the fields in which deep learning has the most influence today is Natural Language Processing.

Read more

Deep Learning is a hot topic today. This is because of the impact it's having in several industries. One of the fields in which deep learning has the most influence today is Natural Language Processing.

To understand why Deep Learning based Natural Language Processing is so popular; it suffices to take a look at the different domains where giving a computer the power to understand and make sense out of text and generate text has changed our lives.

Some applications of Natural Language Processing are in:

  • Helping people around the world learn about any topic ChatGPT

  • Helping developers code more efficiently with Github Copilot.

  • Automatic topic recommendation in our Twitter feeds

  • Automatic Neural Machine Translation with  Google Translate

  • E-commerce search engines like those of Amazon

  • Correction of Grammar with Grammarly

The demand for Natural Language Processing engineers is skyrocketing and experts in this field are highly paid, because of their value. However, getting started in this field isn’t easy. There’s so much information out there, much of which is outdated and many times don't take the beginners into consideration :(

In this course, we shall take you on an amazing journey in which you'll master different concepts with a step-by-step and project-based approach. You shall be using Tensorflow 2 (the world's most popular library for deep learning, built by Google) and Huggingface transformers (most popular NLP focused library ). We shall start by understanding how to build very simple models (like Linear regression model for car price prediction and RNN text classifiers for movie review analysis) using Tensorflow to much more advanced transformer models (like Bert, GPT, BlenderBot, T5, Sentence Transformers and Deberta).

After going through this course and carrying out the different projects, you will develop the skill sets needed to develop modern deep learning for NLP solutions that big tech companies encounter.

You will learn: 

  • The Basics of Tensorflow (Tensors, Model building, training, and evaluation)

  • Text Preprocessing for Natural Language Processing.

  • Deep Learning algorithms like Recurrent Neural Networks, Attention Models, Transformers, and Convolutional neural networks.

  • Sentiment analysis with RNNs, Transformers, and Huggingface Transformers (Deberta)

  • Transfer learning with Word2vec and modern Transformers (GPT, Bert, ULmfit, Deberta, T5...)

  • Machine Learning Operations (MLOps) with Weights and Biases (Experiment Tracking, Hyperparameter Tuning, Dataset Versioning, Model Versioning)

  • Machine translation with RNNs, attention, transformers, and Huggingface Transformers (T5)

  • Model Deployment (Onnx format, Quantization, Fastapi, Heroku Cloud)

  • Intent Classification with Deberta in Huggingface transformers

  • Named Entity Relation with Roberta in Huggingface transformers

  • Neural Machine Translation with T5 in Huggingface transformers

  • Extractive Question Answering with Longformer in Huggingface transformers

  • E-commerce search engine with Sentence transformers

  • Lyrics Generator with GPT2 in Huggingface transformers

  • Grammatical Error Correction with T5 in Huggingface transformers

  • Elon Musk Bot with BlenderBot in Huggingface transformers

  • Speech recognition with RNNs

If you are willing to move a step further in your career, this course is destined for you and we are super excited to help achieve your goals.

This course is offered to you by Neuralearn. And just like every other course by Neuralearn, we lay much emphasis on feedback. Your reviews and questions in the forum will help us better this course. Feel free to ask as many questions as possible on the forum. We do our very best to reply in the shortest possible time.

Enjoy.

Enroll now

14 deals to help you save

We found 14 deals and offers that may be relevant to this course.
Save money when you learn. All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
Use code at checkout. Valid until December 3
Cyber Monday
Develop career-changing skills with these steeply discounted courses.
Up to
85%
off
BFCMSALE24
Use code at checkout. Only 3 days left!
Black Friday
Develop career-changing skills with these steeply discounted courses.
Up to
85%
off
BFCMSALE24
Use code at checkout. Valid until December 1
For new customers
Save when you purchase top courses. For new customers only.
Special Offer
UDEAFNULP2024
Valid for a limited time only
Future-proof your career
Access O'Reilly books, live events, courses, and more. Save with an annual subscription.
Take
15%
off

What's inside

Learning objectives

  • The basics of tensors and variables with tensorflow
  • Mastery of the fundamentals of machine learning and the machine learning developmment lifecycle.
  • Basics of tensorflow and training neural networks with tensorflow 2.
  • Sentiment analysis with recurrent neural networks, attention models and transformers from scratch
  • Neural machine translation with recurrent neural networks, attention models and transformers from scratch
  • Recurrent neural networks, modern rnns, training sentiment analysis models with tensorflow 2.
  • Intent classification with deberta in huggingface transformers
  • Conversion from tensorflow to onnx model
  • Building api with fastapi
  • Deploying api to the cloud
  • Neural machine translation with t5 in huggingface transformers
  • Extractive question answering with longformer in huggingface transformers
  • E-commerce search engine with sentence transformers
  • Lyrics generator with gpt2 in huggingface transformers
  • Grammatical error correction with t5 in huggingface transformers
  • Elon musk bot with blenderbot in huggingface transformers
  • Show more
  • Show less

Syllabus

intro
Welcome
General Introduction
About this Course
Read more
Link to Code
[PRE-REQUISITE] Tensors and Variables
Text Preprocessing for Sentiment Analysis
Basics
Initialization and casting
Indexing
Maths Operations
Linear algebra operations
Common methods
Ragged tensors
Sparse tensors
String tensors
Variables
[PRE-REQUISITE] Building Neural Networks with TensorFlow
Link to Dataset
Task Understanding
Data Preparation
Advanced RNNs (LSTM and GRU)
Linear Regression Model
Error Sanctioning
Training and Optimization
Performance Measurement
Validation and Testing
Corrective Measures
TensorFlow Datasets
Understanding Sentiment Analysis
Text Standardization
Tokenization
One-hot encoding and Bag of Words
Term frequency - Inverse Document frequency (TF-IDF)
Embeddings
Sentiment Analysis with Recurrent neural networks
How Recurrent neural networks work
Building and training RNNs
1D Convolutional Neural Network
Sentiment Analysis with transfer learning
Understanding Word2vec
Integrating pretrained Word2vec embeddings
Testing
Visualizing embeddings
Neural Machine Translation with Recurrent Neural Networks
Understanding Machine Translation
Building, training and testing Model
Understanding BLEU score
Coding BLEU score from scratch
Neural Machine Translation with Attention
Understanding Bahdanau Attention
Building, training and testing Bahdanau Attention
Neural Machine Translation with Transformers
Understanding Transformer Networks
Building, training and testing Transformers
Building Transformers with Custom Attention Layer
Visualizing Attention scores
Sentiment Analysis with Transformers
Sentiment analysis with Transformer encoder
Sentiment analysis with LSH Attention
Transfer Learning and Generalized Language Models
Understanding Transfer Learning
Ulmfit
Gpt
Bert
Albert
Gpt2
Roberta
T5
Sentiment Analysis with Deberta in Huggingface transformers
Building,training and testing model
Model Deployment
Understanding Distillation
Finetuning Distilled Model
Converting Tensorflow model to Onnx format
Understanding quantization
Practical quantization of Onnx model
What is an API
Building an API with FastAPI
Deploying API to cloud
Intent Classification with Deberta in Huggingface transformers
Problem Understanding and Data Preparation
Named Entity Relation with Roberta in Huggingface transformers
Neural Machine Translation with T5 in Huggingface transformers

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides a decent foundation for beginners seeking to break into deep learning and NLP
Offers hands-on projects and interactive materials, making it suitable for learners who prefer a practical approach
Covers a comprehensive range of NLP concepts, including sentiment analysis, machine translation, and named entity recognition
Leverages industry-standard tools like TensorFlow and HuggingFace Transformers, providing learners with relevant skills
Course instructors have a strong reputation in the field of deep learning and NLP, lending credibility to the course content

Save this course

Save Deep Learning: Natural Language Processing with Transformers to your list so you can find it easily later:
Save

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Deep Learning: Natural Language Processing with Transformers with these activities:
Review the fundamentals of Tensorflow
Review the basics to prepare you for the course
Browse courses on Machine Learning
Show steps
  • Review the documentation of key tensorflow concepts
  • Download the Tensorflow library and practice building simple models
Volunteer for projects related to NLP or Machine Learning
Gain practical experience and contribute to the community
Browse courses on Natural Language Processing
Show steps
  • Find volunteering opportunities through organizations
  • Offer skills in NLP or Machine Learning
  • Work on real-world projects
Find a mentor in the field of NLP
Seek guidance from experienced professionals in NLP
Browse courses on Natural Language Processing
Show steps
  • Attend industry events or join online communities focused on NLP
  • Network with professionals and identify potential mentors
Five other activities
Expand to see all activities and additional details
Show all eight activities
Attend workshops for NLP using Tensorflow
Learn about building advanced NLP models using Tensorflow
Browse courses on TensorFlow
Show steps
  • Find workshops and tutorials on Tensorflow and NLP
  • Attend workshops or tutorials
  • Implement the concepts covered in the workshop
Predict sentiment for movie reviews
Practice sentiment analysis with RNNs and Transformers
Browse courses on Sentiment Analysis
Show steps
  • Import the required libraries including Tensorflow and Huggingface transformers
  • Load and preprocess the movie review dataset
  • Build and train RNN and Transformer models for sentiment analysis
  • Evaluate the performance of the models
Participate in NLP competitions or hackathons
Put your skills to the test and gain experience in solving real-world NLP problems
Browse courses on Natural Language Processing
Show steps
  • Identify NLP competitions or hackathons
  • Form a team or participate individually
  • Develop innovative NLP solutions
Practice building and training Machine Learning models
Gain hands-on experience with ML models beyond the course
Browse courses on Machine Learning
Show steps
  • Find a platform like Leetcode or Kaggle
  • Solve practice problems and challenges
  • Implement solutions using Tensorflow or other relevant libraries
Mentor junior developers or students interested in NLP
Reinforce your knowledge and understanding by teaching others
Browse courses on Natural Language Processing
Show steps
  • Reach out to junior developers or students seeking guidance in NLP
  • Offer guidance, share resources, and answer questions

Career center

Learners who complete Deep Learning: Natural Language Processing with Transformers will develop knowledge and skills that may be useful to these careers:

Reading list

We haven't picked any books for this reading list yet.

Share

Help others find this course page by sharing it with your friends and followers:
Facebook
LinkedIn
Reddit
X
Link
Email

Similar courses

Here are nine courses similar to Deep Learning: Natural Language Processing with Transformers.
Sequence Models
Most relevant
Data Science: Transformers for Natural Language Processing
Most relevant
Generative AI Language Modeling with Transformers
Most relevant
Mastering Natural Language Processing (NLP) with Deep...
Most relevant
LLMs Mastery: Complete Guide to Transformers & Generative...
Most relevant
Natural Language Processing with Attention Models
Most relevant
Rust for Large Language Model Operations (LLMOps)
Most relevant
Machine Translation
Most relevant
Learn Everything about Full-Stack Generative AI, LLM...
Most relevant
Course image
Effort
33 total hours
Via
Udemy
Instructor
Neuralearn Dot AI
Language
English
Good to know
Provides a decent foundation for beginners seeking to break into deep learning and NLP
Offers hands-on projects and interactive materials, making it suitable for learners who prefer a practical approach
Covers a comprehensive range of NLP concepts, including sentiment analysis, machine translation, and named entity recognition
Leverages industry-standard tools like TensorFlow and HuggingFace Transformers, providing learners with relevant skills
Course instructors have a strong reputation in the field of deep learning and NLP, lending credibility to the course content
Share and help others discover this course.
Facebook LinkedIn X Reddit Link Email
Don't miss out
Enroll today to gain access to this course
Enroll in this course
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser