By Simpliv
Online
Can be taken anytime
Professional Training Course
Yes (Details)
English
$10
Course Overview
Description:
Learn the state-of-art Transformers for NLP and how to implement them from scratch!
Basic knowledge:
Python and a Basic Knowledge about Neural Networks
Who should take this course
Students in machine learning, deep learning, artificial intelligence, and data science. Professionals in machine learning, deep learning, artificial intelligence, and data science. Anyone interested in state-of-the-art natural language processing. Featured review.
Accreditation
Course Completion Certificate
Course content
What will you learn:
In this course, we will cover the following in full detail:
- Course Outline
- Sequence Modelling
- RNNs and LSTMs
- Attention Mechanism
- How Attention Works
- Word Embeddings
- Visualizing and Measuring Word Embeddings
- Introduction to Transformers
- Input Embeddings
- Positional Encoding
- MultiHead Attention
- Concat and Linear
- Residual Learning
- Layer Normalization
- Feed Forward
- Masked MultiHead Attention
- MultiHead Attention in Decoder
- Cross Entropy Loss
- KL Divergence Loss
- Label Smoothing
- Dropout
- Learning Rate Warmup
- All concepts discussed above are visualized with diagrams to ease your understanding!
After that, we will implement all what we've learned above to build a Chatbot in PyTorch!
About Course Provider
Simpliv LLC, a platform for learning and teaching online courses. We basically focus on online learning which helps to learn business concepts, software technology to develop personal and professional goals through video library by recognized industry experts or trainers.
Why Simpliv
With the ever-evolving industry trends, there is a constant need of the professionally designed learning solutions that deliver key innovations on time and on a budget to achieve long-term success.
Simpliv understands the changing needs and allows the global learners to evaluate their technical abilities by aligning the learnings to key business objectives in order to fill the skills gaps that exist in the various business areas including IT, Marketing, Business Development, and much more.