Lazy Programmer Inc.
It’s hard to believe it’s been been over a year since I released my first course on Deep Learning with NLP (natural language processing).
A lot of cool stuff has happened since then, and I’ve been deep in the trenches learning, researching, and accumulating the best and most useful ideas to bring them back to you.
So what is this course all about, and how have things changed since then?
In previous courses, you learned about some of the fundamental building blocks of Deep NLP. We looked at RNNs (recurrent neural networks), CNNs (convolutional neural networks), and word embedding algorithms such as word2vec and GloVe.
This course takes you to a higher systems level of thinking.
Since you know how these things work, it’s time to build systems using these components.
At the end of this course, you’ll be able to build applications for problems like:
text classification (examples are sentiment analysis and spam detection)
neural machine translation
question answering
We’ll take a brief look chatbots and as you’ll learn in this course, this problem is actually no different from machine translation and question answering.
To solve these problems, we’re going to look at some advanced Deep NLP techniques, such as:
Instructor Details
Courses : 22
Specification: Deep Learning: Advanced Natural Language Processing and RNNs
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15 reviews for Deep Learning: Advanced Natural Language Processing and RNNs
Add a review
| Price | $18.99 |
|---|---|
| Provider | |
| Duration | 8.5 hours |
| Year | 2022 |
| Level | All |
| Language | English ... |
| Certificate | Yes |
| Quizzes | No |
$18.99
Pankaj Kumar –
Very comprehensive course content.
Vu Minh Chien –
This is the first time I write a review in Udemy. This course is really helpful for me. I can learn a lot in depth of well know NLP model. I hope instructor create more informative course of NLP state of the art model. I am waiting for these. Thank you Lazy Programmer (sorry I don’t know your name, actually)
Atul Singh –
Good Match
Naresh Prasad –
good
Matthew Gregg –
I’m not even halfway through the course and the instructor constantly reminds everyone how hard and complicated, this and that is. I didn’t pay to hear your opinion of yourself, be more optimistic. Geesh.
B Hrithik Viknesh –
Yes
Vivek Kumar –
Clearly explained about the expectation of this course. I have definitely meet what I was looking for. I already have all the prerequisite knowledge for this course. Thrill to start this…!!!
Arghya Ganguly –
Awesome learning!
Phil Samandar –
Simply Amazing stuff! True Deep Learning democratization. You’ll need a GPU for the ‘Attention’ trainings.
Jose I Wielandt Becker –
good pasing and to the point and clear explanations so far
Sahil Tomar –
bhut bdhia
Salman Deliwala –
This course covered the topics mentioned though the presentation was not that good. Expected more clear explanation,
Nikhil Mathews –
Code implementation was not great at helping grasp concepts. for eg, use tools like plot model from keras for visualization.
Abhijeet Verma –
Need to add more Deep Learning NLP use cases and more use cases on where RNN can be used in NLP space.
Patrick Yang –
I am a beginner to NLP and deep learning and I am very satisfied with this course! Upon completing this course, I am more confident with my Python skills and applying them in practice for text classification, machine translation, and others. I would say no matter what you want to do with data science, deep learning, or NLP, this course would give you a good understanding and confidence!