92% Off Unsupervised Deep Learning in Python | Coupon Codes

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Course Info & Coupon Details

This course will teach you to Theano / Tensorflow: Autoencoders, Restricted Boltzmann Machines, Deep Neural Networks, t-SNE and PCA. I recommend taking this course, “Unsupervised Deep Learning in Python” by Lazy Programmer Inc.

Course name: Unsupervised Deep Learning in Python
Course instructor: Lazy Programmer Inc. (A data scientist, big data engineer, and full stack software engineer)
Description Course: Theano / Tensorflow: Autoencoders, Restricted Boltzmann Machines, Deep Neural Networks, t-SNE and PCA.
Online course: 38 lectures, Intermediate Level
Video length: 4 hours
Languages: English
Categories: Data & Analytics
Students & Ratings: As of August 09, 2017, more than 5,690 students enrolled and have over 255 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.

Course Review

Brief Course Curriculum and Learning Objectives
The online course “Unsupervised Deep Learning in Python” has been developed by Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. As well as the author of Bestselling in TensorFlow, Deep Learning, Python, Natural Language Processing, A/B Testing Courses on Udemy with over 46.000 students from all over the world. After successfully completing this course, students will be able to:

You will be able to understand the theory behind principal components analysis (PCA)
You will be able to write the code for PCA
You will be able to understand the limitations of PCA and t-SNE
You will be able to derive the PCA algorithm by hand
You will be able to know why PCA is useful for dimensionality reduction, visualization, de-correlation, and denoising
You will be able to understand how stacked autoencoders are used in deep learning
You will be able to understand the theory behind autoencoders
You will be able to understand the theory behind t-SNE
You will be able to use t-SNE in code
You will be able to write an autoencoder in Theano and Tensorflow
And much more!

Conclusion and Recommendation
This course is a great way to learn about modern deep learning developments. If you are students or professionals looking to enhance your deep learning repertoire. If you want to improve the training capabilities of deep neural networks, learn about the more modern developments in deep learning, then this is the right course for you! Enrolling in Course Now!
Limited Time! Hurry before discount ends 😀

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