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- 84% Deep Learning: Advanced NLP and RNNs

Deep Learning: Advanced Natural Language Processing and RNNs

$18.99Track price

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8.8/10 (Our Score)
Product is rated as #75 in category Machine Learning

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

Today, I spend most of my time as an artificial intelligence and machine learning engineer with a focus on deep learning, although I have also been known as a data scientist, big data engineer, and full stack software engineer. I received my masters degree in computer engineering with a specialization in machine learning and pattern recognition. Experience includes online advertising and digital media as both a data scientist (optimizing click and conversion rates) and big data engineer (building data processing pipelines). Some big data technologies I frequently use are Hadoop, Pig, Hive, MapReduce, and Spark. I've created deep learning models to predict click-through rate and user behavior, as well as for image and signal processing and modeling text. My work in recommendation systems has applied Reinforcement Learning and Collaborative Filtering, and we validated the results using A/B testing. I have taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Hunter College, and The New School. Multiple businesses have benefitted from my web programming expertise. I do all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies I've used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases I've used MySQL, Postgres, Redis, MongoDB, and more.

Specification: Deep Learning: Advanced Natural Language Processing and RNNs

Duration

8.5 hours

Year

2022

Level

All

Certificate

Yes

Quizzes

No

15 reviews for Deep Learning: Advanced Natural Language Processing and RNNs

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  1. Pankaj Kumar

    Very comprehensive course content.

    Helpful(0) Unhelpful(0)You have already voted this
  2. 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)

    Helpful(0) Unhelpful(0)You have already voted this
  3. Atul Singh

    Good Match

    Helpful(0) Unhelpful(0)You have already voted this
  4. Naresh Prasad

    good

    Helpful(0) Unhelpful(0)You have already voted this
  5. 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.

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  6. B Hrithik Viknesh

    Yes

    Helpful(0) Unhelpful(0)You have already voted this
  7. 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…!!!

    Helpful(0) Unhelpful(0)You have already voted this
  8. Arghya Ganguly

    Awesome learning!

    Helpful(0) Unhelpful(0)You have already voted this
  9. Phil Samandar

    Simply Amazing stuff! True Deep Learning democratization. You’ll need a GPU for the ‘Attention’ trainings.

    Helpful(0) Unhelpful(0)You have already voted this
  10. Jose I Wielandt Becker

    good pasing and to the point and clear explanations so far

    Helpful(0) Unhelpful(0)You have already voted this
  11. Sahil Tomar

    bhut bdhia

    Helpful(0) Unhelpful(0)You have already voted this
  12. Salman Deliwala

    This course covered the topics mentioned though the presentation was not that good. Expected more clear explanation,

    Helpful(0) Unhelpful(0)You have already voted this
  13. Nikhil Mathews

    Code implementation was not great at helping grasp concepts. for eg, use tools like plot model from keras for visualization.

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  14. Abhijeet Verma

    Need to add more Deep Learning NLP use cases and more use cases on where RNN can be used in NLP space.

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  15. 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!

    Helpful(0) Unhelpful(0)You have already voted this

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    Deep Learning: Advanced Natural Language Processing and RNNs
    Deep Learning: Advanced Natural Language Processing and RNNs

    $18.99

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