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Recurrent Neural Networks (RNNs), a class of neural networks, are essential in processing sequences such as sensor measurements, daily stock prices, etc. In fact, most of the sequence modelling problems on images and videos are still hard to solve without Recurrent Neural Networks. Further, RNNs are also considered to be the general form of deep learning architecture. Hence, the understanding of RNNs is crucial in all the fields of Data Science. This course addresses all these concerns and empowers you to take your career to the next level with a masterful grip on the theoretical concepts and practical implementations of RNNs in Data Science.
Why Should You Enroll in This Course?
The course ’Recurrent Neural Networks, Theory and Practice in Python‘ is crafted to help you understand not only how to build RNNs but also how to train them. This straightforward learning by doing a course will help you in mastering the concepts and methodology with regards to Python.
The two mini–projects Automatic Book Writer and Stock Price Prediction, are designed to improve your understanding of RNNs and add more skills to your data science toolbox. Also, this course will enable you to immediately apply the skills you acquire to your own projects. This course is:
Specification: Deep Learning: Recurrent Neural Networks with Python
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11 reviews for Deep Learning: Recurrent Neural Networks with Python
Add a review
| Price | $14.99 |
|---|---|
| Provider | |
| Duration | 15.5 hours |
| Year | 2022 |
| Level | All |
| Language | English ... |
| Certificate | Yes |
| Quizzes | No |
$14.99
Md Bikasuzzaman –
it’s very helpful for begginer’s.
Il Hyung Cho –
Rather a long introduction (over 7 hours?) before actually getting into coding, but it is a very nice summary of deep neural networks for those who already have some background in Neural Networks.
Sandor Kulin –
Until now it’s good.
Qamar Abbas –
I recommend this course to every one who is interested in Deep Learning and Artificial Intelligence. Who really wants to learn these trending technologies. These technologies are having a big impact in our lives. AI Sciences are doing a really wonderful job.
Syeda Fatima Kashif –
very helpful
Koen B –
Very in depth on theory. Less in depth regarding practical appliance. Just two practical examples are shown in which the instructor does not explain very well why certain choices are made and how they will influence the final results. In general the instructor explains everything clearly but could somewhat use a little less words to explain the same.
Hariel Giacomuzzi Dias –
Explica es bem claras e concisas
Herman van haagen –
The slides are hand written. bad hand writing. No examples in code.
Tauseef –
Great course! Really good, really instructive. A perfect combo between videos, reading and practical exercises. I learned many things that I put in practice today in my projects. I truly recommend it.
Carlos Domingo –
Content is good so far, but delivery’s a bit chaotic…
Samaresh Kumar Pradhan –
awesome course