Udemy – Modern Natural Language Processing in Python

Modern Natural Language Processing in Python – Solve Seq2Seq and Classification NLP tasks with Transformer and CNN utilizing
Tensorflow 2 in Google Colab

What you will learn

• Build a Transformer, new model created by Google, for any sequence to sequence process (e.g. a translator)
• Construct a CNN specialised in NLP for any classification process (e.g. sentimental evaluation)
• Write a customized coaching course of for extra superior coaching strategies in NLP
• Create customs layers and fashions in TF 2.Zero for particular NLP duties
• Use Google Colab and Tensorflow 2.Zero on your AI implementations
• Decide one of the best mannequin for every NLP process
• Perceive how we get computer systems to offer that means to the human language
• Create datasets for AI from these knowledge
• Clear textual content knowledge
• Perceive why and the way every of these fashions work
• Perceive all the things concerning the consideration mechanism, mendacity behind the latest and strongest NLP algorithms

Requirements

• PC with Web connection
• Python Programming Expertise
• Advisable: Expertise with TF2.0
• Advisable: Google Collab

Description

Modern Natural Language Processing course is designed for anybody who desires to develop or begin a brand new profession and achieve a powerful background in NLP.

These days, the business is turning into increasingly more in want of NLP options. Chatbots and on-line automation, language modeling, occasion extraction, fraud detection on enormous contracts are only some examples of what’s demanded right this moment. Studying NLP is essential to convey actual options to the current and future wants.

All through this course, we’ll leverage the large quantity of speech and textual content knowledge accessible on-line, and we’ll discover the principle three and strongest NLP purposes, that provides you with the facility to efficiently strategy any real-world problem.

1. First, we’ll dive into CNNs to create a sentimental evaluation utility.
2. Then we’ll go for Transformers, changing RNNs, to create a language translation system.

The course is user-friendly and environment friendly: Fashionable NL leverages the most recent applied sciences—Tensorflow 2.Zero and Google Colab—assuring you that you simply gained’t have any native machine/software program model/compatibility points and that you’re utilizing probably the most up-to-date instruments.

Who this course is for:

• AI amateurs which might be wanting to find out how we course of language these days
• AI college students that have to have a deeper and wider information about NLP
• Enterprise pushed individuals which might be wanting to understand how NLP might be utilized to their area to leverage any textual content knowledge
• Anybody who desires to start out a brand new profession and get a powerful background in NLP, including environment friendly circumstances to their portfolio

The Complete Python 3 Course

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