Martin Jocqueviel
Modern Natural Language Processing course is designed for anyone who wants to grow or start a new career and gain a strong background in NLP.
Nowadays, the industry is becoming more and more in need of NLP solutions. Chatbots and online automation, language modeling, event extraction, fraud detection on huge contracts are only a few examples of what is demanded today. Learning NLP is key to bring real solutions to the present and future needs.
Throughout this course, we will leverage the huge amount of speech and text data available online, and we will explore the main 3 and most powerful NLP applications, that will give you the power to successfully approach any real–world challenge.
First, we will dive into CNNs to create a sentimental analysis application.
Then we will go for Transformers, replacing RNNs, to create a language translation system.
The course is user–friendly and efficient: Modern NL leverages the latest technologies—Tensorflow 2.0 and Google Colab—assuring you that you won’t have any local machine/software version/compatibility issues and that you are using the most up–to–date tools.
Instructor Details
Courses : 2
Specification: Modern Natural Language Processing in Python
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18 reviews for Modern Natural Language Processing in Python
Add a review
| Price | $19.99 |
|---|---|
| Provider | |
| Duration | 6 hours |
| Year | 2021 |
| Level | Intermediate |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
$19.99
Bruno Winck –
Very good. The course combines theoretical explanations and hands on coding. The technology is great too, it helps. Now I must think about how to apply this knowledge 🙂
Rohit Mital –
I loved the CNN part but got lost in lecture 20 on Attention. My review below is just on lecture 20 22. What would really help in that section is using examples. For example instead of referring to Q,K,V in theory, assign an example to Q,K,V and use it throughout the 31:35 lecture. There were times when you refer to first and third element and if you had real examples, you could say first element, the word ‘I’ or third element , word ‘street’. You could also show them on the slides. At some points there was a lot of talking and if the slides could be showing examples of what you were talking about, it would make it so much easier
Gary Morford –
I I have taken some math course including basic matrix multiplications, so his explations now are fairly easy to follow. Thank you. Definitely increases my interest/excitement. Now to fit into my schedule and to continue learning.
Kariato Davey –
This is a really good practical introdcution to Seq2Seq. This is a pretty advanced topic. The overview helps but make sure you have a good background in DL especially RNN and CNN. I wanted to get a good understanding of Transformers. This was good here.
William H Taylor –
I am excited to learn this, the instructor seems to know his stuff, this is a good course.
Prayson Wilfred Daniel –
Brilliant explanation of the intuitions behind algorithms
Jones Granatyr –
Great course! Perfect explanations and implementations! The results of both study cases were very good!
David Pickrell –
Clear and concise costructs
Tougov Dmitriy –
Great course, but intuition in most difficult parts is not explained enough.
John Grabner –
Very clear explanation. Easy to understand.
Hasna Bouazza –
The teacher doesn t explain the functions when he was coding
Danylo Baibak –
The course strongly focused on such topics as Attention Mechanism and Transformers. If you are interested in these topics, I can definitely recommend this course. The course doesn’t coverage Modern Natural Language Processing in common. So if you are new in NLP, this course is not for you.
Sindhura Sriram –
Very detailed and clear explanation
Frederick Cannan –
The course explains a very recent NLP architecture. It uses the paper to walk through all aspects of the model. The final result is quite useful with a clear option for expansion and improvement! Similar encoding and decoding devices that are used appear in other recent architectures. This adds to the usefulness of this course.
ankit dhingra –
this person is not a good orator for sure
Victor Hernandez Bennetts –
Lacks any depth. The way the material is presented is not the optimal. The slides are rather poor and hard to understand. I mailed one of the course creators and he didnt even bother to reply to my mail
Lamar Marshall –
Ive taken may course on deep learning. he has the best explanation of cnn i have heard
Som Sekhar Thatoi –
It is a good course with detailed explanation of neural networks, but the content seems smaller. It is just 2 projects and their explanation