Course Info & Coupon Details
This course will teach you to + more modern deep learning, machine learning, and data science for sequences. I recommend taking a course, “Deep Learning: Recurrent Neural Networks in Python” by Lazy Programmer Inc.
Course name: Deep Learning: Recurrent Neural Networks in Python
Course instructor: Lazy Programmer Inc. (Data scientist and big data engineer)
Description Course: GRU, LSTM, + more modern deep learning, machine learning, and data science for sequences
Online course: 39 lectures, All Levels
Video length: 5 hours
Categories: Data & Analytics
Students & Ratings: As of November 09, 2017, more than 8,452 students enrolled and have over 649 ratings.
Course type Includes: Lifetime access to all videos, including all future updates.
There is no risk: 30-day money back guarantee!
Learn Anywhere Available: iPhone, iPad, Tablets, iOS and Android
Recognition Certificate: You will receive a Course Completion Certification from Udemy platform.
Brief Course Curriculum and Learning Objectives
The online course “Deep Learning: Recurrent Neural Networks in Python” has been developed by Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. Also, the creator of the Bestselling in Natural Language Processing, A/B Testing, Artificial Intelligence Courses on Udemy with over 87,000 students. After successfully completing this course, students will be able to:
The student will use recurrent neural networks for language modeling.
The student will understand the simple recurrent unit (Elman unit).
The student will understand the LSTM (long short-term memory unit).
The student will understand the GRU (gated recurrent unit).
The student will understand backpropagation through time.
The student will write various recurrent networks in Theano.
The student will know how to mitigate the vanishing gradient problem.
The student will use RNNs for generating text, like poetry.
The student will solve the XOR and parity problems using a recurrent neural network.
The student will visualize word embeddings and look for patterns in word vector representations.
And much more…
Conclusion and Recommendation
If you are a student or professional who wants to apply deep learning to time series or sequence data. If you want to level up with deep learning. If you want to improve the performance you got with Hidden Markov Models. If you’re interested the techniques that led to new developments in machine translation. If you want to learn about word embeddings and language modeling, then this is the right course for you! Enrolling in Course Now!
Limited Time! Hurry before discount ends 😀
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