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- 82% The Complete Neural Networks Bootcamp: Theory, Applications

The Complete Neural Networks Bootcamp: Theory, Applications

$16.99Track price

(15 customer reviews)
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9.1/10 (Our Score)
Product is rated as #38 in category Machine Learning

This course is a comprehensive guide to Deep Learning and Neural Networks. The theories are explained in depth and in a friendly manner. After that, we’ll have the hands–on session, where we will be learning how to code Neural Networks in PyTorch, a very advanced and powerful deep learning framework!

The course includes the following Sections:

Section 1 – How Neural Networks and Backpropagation Works

In this section, you will deeply understand the theories of how neural networks  and the backpropagation algorithm works, in a friendly manner. We will walk through an example and do the calculations step–by–step. We will also discuss the activation functions used in Neural Networks, with their advantages and disadvantages!

Section 2 – Loss Functions

In this section, we will introduce the famous loss functions that are used in Deep Learning and Neural Networks. We will walk through when to use them and how they work.

Section 3 – Optimization

In this section, we will discuss the optimization techniques used in Neural Networks, to reach the optimal Point, including Gradient Descent, Stochastic Gradient Descent, Momentum, RMSProp, Adam, AMSGrad, Weight Decay and Decoupling Weight Decay, LR Scheduler and others.

Section 4 – Weight Initialization

In this section,we will introduce you to the concepts of weight initialization in neural networks, and we will discuss some techniques of weights initialization including Xavier initialization and He norm initialization.

Instructor Details

I am a researcher doing my research in Computer Vision. Through out my research period, i have achieved many of my research goals and published multiple research papers. I have three courses, one which provides a complete guide to Image Processing with MATLAB, where you will master the basics of Image Processing and build interfaces for them, another course which is a complete guide to Neural Networks, where you'll master neural networks and deep learning topics in depth both theoretically and practically in one of the most powerful deep learning frameworks! I am extremely happy to share my knowledge and experience throughout my courses!

Specification: The Complete Neural Networks Bootcamp: Theory, Applications

Duration

44 hours

Year

2021

Level

All

Certificate

Yes

Quizzes

Yes

15 reviews for The Complete Neural Networks Bootcamp: Theory, Applications

4.1 out of 5
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  1. Mahmoud Elsayed

    This is by far the best instructor, I have ever known in my whole life…His materials are just stunning and the way he explains things by simplifying everything to its basis is just fantastically amazing.. I strongly recommend the course to anyone who’s interested in deep learning or neural networks.

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  2. Tien Yu Sun

    Instructor covers a vast amount of topics. Explanation is good. This is a good course for someone that already has some background.

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  3. Federico Talens

    So far so good. The CC captions are not very good and I had to switch them off because they were distracting.

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  4. Mariya Jablonski

    I just started the course and after a dew lectures I can’t continue. The lectures can be cut in half because the guy keeps repeating the same thing he had just said over and over and over it’s quite ridiculous. I feel like I’m in an infinite while loop. I’m going to see how I can un enroll and find a better course.

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  5. Peter Gyuros

    This is exactly what I was looking for: detailed descriptions of the mathematics behind ANNs. Very well presented with lots of content, I am very happy with it, helped me a lot. Would definitely recommend to anyone trying to get a deeper understanding of NNs. I’m giving a 4.5 rating because sometimes the videos lack ‘polish’ and occasionally are a bit unclear. Great course nevertheless! Cheers

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  6. Biel Piero Alvarado V squez

    I love it. Not just focuses on applying ANN in python, it also explains the mathematical basis to program your own ANN library

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  7. Steven Miller

    Incredibly fascinating thus far.

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  8. Udochukwu Kalu Ogbureke

    The instructor is very good in this subject and can also explain.

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  9. Daniel Santos

    Very good, but i’m really missing some PDF’s with a resume of each lecture !!! There is no support material to download. Nothing.

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  10. Lossan Bonde

    I am excited to go through this course.

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  11. Manuel Saenz

    I found the explanations messy. The instructor didn’t even edit the videos to ensure he corrected his mistakes. Most of the time was spent going through calculations instead of focusing on explaining the concepts and how they related to each other. I have a background on math/stats so I could figure out what he was supossed to convey but I suspect others would not be able to follow. Would not recommend the course

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  12. John A Dodge

    I need to learn Calculus which I definitely plan to.

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  13. Amirhossein Daraie

    The instructor is very talented. He teaches exceptionally well. He compiled invaluable materials from most of resources for neural network and then with his great sense of communication, he teaches them in a novel way. I do recommend this course to everyone.

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  14. Vikranti Shelar

    Very nicely explained intro

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  15. Mathias Polo

    The content is amazing but some things could have been explained more clearly

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    The Complete Neural Networks Bootcamp: Theory, Applications
    The Complete Neural Networks Bootcamp: Theory, Applications

    $16.99

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