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Deep Learning A-Z™: Hands-On Artificial Neural Networks Download Now –

  • Highschool arithmetic stage
  • Fundamental Python programming information


*** As seen on Kickstarter ***

Artificial intelligence is rising exponentially. There is no such thing as a doubt about that. Self-driving vehicles are clocking up tens of millions of miles, IBM Watson is diagnosing sufferers higher than armies of medical doctors and Google Deepmind’s AlphaGo beat the World champion at Go – a recreation the place instinct performs a key position.

However the additional AI advances, the extra advanced develop into the issues it wants to resolve. And solely Deep Learning can clear up such advanced issues and that’s why it’s on the coronary heart of Artificial intelligence.

— Why Deep Learning A-Z? —

Listed below are 5 causes we expect Deep Learning A-Z™ actually is totally different, and stands out from the group of different coaching packages on the market:


The primary and most necessary factor we centered on is giving the course a strong construction. Deep Learning may be very broad and complicated and to navigate this maze you want a transparent and international imaginative and prescient of it.

That’s why we grouped the tutorials into two volumes, representing the 2 basic branches of Deep Learning: Supervised Deep Learning and Unsupervised Deep Learning. With every quantity specializing in three distinct algorithms, we discovered that that is the very best construction for mastering Deep Learning.


So many programs and books simply bombard you with the speculation, and math, and coding… However they neglect to elucidate, maybe, crucial half: why you’re doing what you’re doing. And that’s how this course is so totally different. We deal with creating an intuitive *really feel* for the ideas behind Deep Learning algorithms.

With our instinct tutorials you’ll be assured that you just perceive all of the strategies on an instinctive stage. And when you proceed to the arms-on coding workout routines you will notice for your self how rather more significant your expertise shall be. This can be a recreation-changer.


Are you bored with programs primarily based on over-used, outdated information units?

Sure? Effectively then you definitely’re in for a deal with.

Inside this class we are going to work on Actual-World datasets, to resolve Actual-World enterprise issues. (Undoubtedly not the boring iris or digit classification datasets that we see in each course). On this course we are going to clear up six actual-world challenges:

  • Artificial Neural Networks to resolve a Buyer Churn downside
  • Convolutional Neural Networks for Picture Recognition
  • Recurrent Neural Networks to foretell Inventory Costs
  • Self-Organizing Maps to research Fraud
  • Boltzmann Machines to create a Recomender System
  • Stacked Autoencoders* to tackle the problem for the Netflix $1 Million prize

*Stacked Autoencoders is a model new approach in Deep Learning which didn’t even exist a few years in the past. We haven’t seen this technique defined wherever else in ample depth.


In Deep Learning A-Z™ we code along with you. Each sensible tutorial begins with a clean web page and we write up the code from scratch. This manner you possibly can comply with alongside and perceive precisely how the code comes collectively and what every line means.

As well as, we are going to purposefully construction the code in such a approach with the intention to download it and apply it in your personal tasks. Furthermore, we clarify step-by-step the place and find out how to modify the code to insert YOUR dataset, to tailor the algorithm to your wants, to get the output that you’re after.

This can be a course which naturally extends into your profession.


Have you ever ever taken a course or learn a e book the place you have got questions however can not attain the writer?

Effectively, this course is totally different. We’re absolutely dedicated to creating this probably the most disruptive and highly effective Deep Learning course on the planet. With that comes a accountability to consistently be there whenever you want our assist.

In truth, since we bodily additionally must eat and sleep now we have put collectively a staff {of professional} Knowledge Scientists to assist us out. Everytime you ask a query you’ll get a response from us inside 48 hours most.

Regardless of how advanced your question, we shall be there. The underside line is we would like you to succeed.

— The Instruments —

Tensorflow and Pytorch are the 2 hottest open-supply libraries for Deep Learning. On this course you’ll be taught each!

TensorFlow was developed by Google and is used of their speech recognition system, within the new google images product, gmail, google search and rather more. Firms utilizing Tensorflow embrace AirBnb, Airbus, Ebay, Intel, Uber and dozens extra.

PyTorch is as simply as highly effective and is being developed by researchers at Nvidia and main universities: Stanford, Oxford, ParisTech. Firms utilizing PyTorch embrace Twitter, Saleforce and Fb.

So which is healthier and for what?

Effectively, on this course you’ll have a chance to work with each and perceive when Tensorflow is healthier and when PyTorch is the way in which to go. All through the tutorials we examine the 2 and offer you suggestions and concepts on which might work finest in sure circumstances.

The fascinating factor is that each these libraries are barely over 1 12 months previous. That’s what we imply after we say that on this course we educate you probably the most leading edge Deep Learning fashions and strategies.

— Extra Instruments —

Theano is one other open supply deep studying library. It’s similar to Tensorflow in its performance, however however we are going to nonetheless cowl it.

Keras is an unbelievable library to implement Deep Learning fashions. It acts as a wrapper for Theano and Tensorflow. Because of Keras we are able to create highly effective and complicated Deep Learning fashions with only some strains of code. That is what’s going to assist you to have a worldwide imaginative and prescient of what you’re creating. Every little thing you make will look so clear and structured due to this library, that you’ll actually get the instinct and understanding of what you’re doing.

— Even Extra Instruments —

Scikit-be taught probably the most sensible Machine Learning library. We’ll primarily use it:  

  • to guage the efficiency of our fashions with probably the most related approach, ok-Fold Cross Validation
  • to enhance our fashions with efficient Parameter Tuning
  • to preprocess our information, in order that our fashions can be taught in the very best situations

And naturally, now we have to say the standard suspects. This entire course is predicated on Python and in each single part you’ll be getting hours and hours of invaluable arms-on sensible coding expertise.

Plus, all through the course we shall be utilizing Numpy to do excessive computations and manipulate excessive dimensional arrays, Matplotlib to plot insightful charts and Pandas to import and manipulate datasets probably the most effectively.

— Who Is This Course For? —

As you possibly can see, there are many totally different instruments within the area of Deep Learning and on this course we be sure that to indicate you crucial and most progressive ones in order that whenever you’re accomplished with Deep Learning A-Z™ your expertise are on the chopping fringe of at present’s know-how.

If you’re simply beginning out into Deep Learning, then you will see this course extraordinarily helpful. Deep Learning A-Z™ is structured round particular coding blueprint approaches which means that you just gained’t get slowed down in pointless programming or mathematical complexities and as a substitute you’ll be making use of Deep Learning strategies from very early on within the course. You’ll construct your information from the bottom up and you will notice how with each tutorial you’re getting increasingly assured.

If you have already got expertise with Deep Learning, you will see this course refreshing, inspiring and really sensible. Inside Deep Learning A-Z™ you’ll grasp among the most chopping-edge Deep Learning algorithms and strategies (a few of which didn’t even exist a 12 months in the past) and thru this course you’ll achieve an immense quantity of priceless arms-on expertise with actual-world enterprise challenges. Plus, inside you will see inspiration to discover new Deep Learning expertise and purposes.

— Actual-World Case Research —

Mastering Deep Learning isn’t just about figuring out the instinct and instruments, it’s additionally about with the ability to apply these fashions to actual-world situations and derive precise measurable outcomes for the enterprise or undertaking. That’s why on this course we’re introducing six thrilling challenges:

#1 Churn Modelling Drawback

On this half you’ll be fixing a knowledge analytics problem for a financial institution. You’ll be given a dataset with a big pattern of the financial institution’s prospects. To make this dataset, the financial institution gathered info equivalent to buyer id, credit score rating, gender, age, tenure, steadiness, if the shopper is lively, has a bank card, and so forth. Throughout a interval of 6 months, the financial institution noticed if these prospects left or stayed within the financial institution.

Your objective is to make an Artificial Neural Community that may predict, primarily based on geo-demographical and transactional info given above, if any particular person buyer will depart the financial institution or keep (buyer churn). In addition to, you’re requested to rank all the purchasers of the financial institution, primarily based on their likelihood of leaving. To do this, you will want to make use of the fitting Deep Learning mannequin, one that’s primarily based on a probabilistic strategy.

In the event you succeed on this undertaking, you’ll create vital added worth to the financial institution. By making use of your Deep Learning mannequin the financial institution could considerably scale back buyer churn.

#2 Picture Recognition

On this half, you’ll create a Convolutional Neural Community that is ready to detect numerous objects in pictures. We’ll implement this Deep Learning mannequin to acknowledge a cat or a canine in a set of images. Nevertheless, this mannequin may be reused to detect anything and we are going to present you find out how to do it – by merely altering the photographs within the enter folder.

For instance, it is possible for you to to coach the identical mannequin on a set of mind pictures, to detect in the event that they include a tumor or not. However if you wish to hold it fitted to cats and canines, then you’ll actually have the ability to a take an image of your cat or your canine, and your mannequin will predict which pet you have got. We even examined it out on Hadelin’s canine!

#3 Inventory Value Prediction

On this half, you’ll create one of the vital highly effective Deep Learning fashions. We’ll even go so far as saying that you’ll create the Deep Learning mannequin closest to “Artificial Intelligence”. Why is that? As a result of this mannequin may have lengthy-time period reminiscence, similar to us, people.

The department of Deep Learning which facilitates that is Recurrent Neural Networks. Basic RNNs have brief reminiscence, and had been neither standard nor highly effective for this precise motive. However a current main enchancment in Recurrent Neural Networks gave rise to the recognition of LSTMs (Lengthy Quick Time period Reminiscence RNNs) which has utterly modified the taking part in subject. We’re extraordinarily excited to incorporate these chopping-edge deep studying strategies in our course!

On this half you’ll discover ways to implement this extremely-highly effective mannequin, and we are going to take the problem to make use of it to foretell the true Google inventory value. An analogous problem has already been confronted by researchers at Stanford College and we are going to intention to do at the very least nearly as good as them.

 #4 Fraud Detection

Based on a current report printed by Markets & Markets the Fraud Detection and Prevention Market goes to be price $33.19 Billion USD by 2021. This can be a large business and the demand for superior Deep Learning expertise is simply going to develop. That’s why now we have included this case examine within the course.

That is the primary a part of Quantity 2 – Unsupervised Deep Learning Fashions. The enterprise problem right here is about detecting fraud in bank card purposes. You’ll be making a Deep Learning mannequin for a financial institution and you’re given a dataset that accommodates info on prospects making use of for a sophisticated bank card.

That is the information that prospects offered when filling the applying kind. Your process is to detect potential fraud inside these purposes. That signifies that by the tip of the problem, you’ll actually provide you with an specific checklist of consumers who doubtlessly cheated on their purposes.

#5 & 6 Recommender Programs

From Amazon product options to Netflix film suggestions – good recommender methods are very priceless in at present’s World. And specialists who can create them are among the prime-paid Knowledge Scientists on the planet.

We’ll work on a dataset that has precisely the identical options because the Netflix dataset: loads of motion pictures, hundreds of customers, who’ve rated the films they watched. The rankings go from 1 to five, precisely like within the Netflix dataset, which makes the Recommender System extra advanced to construct than if the rankings had been merely “Liked” or “Not Liked”.

Your remaining Recommender System will have the ability to predict the rankings of the films the purchasers didn’t watch. Accordingly, by rating the predictions from 5 right down to 1, your Deep Learning mannequin will have the ability to advocate which motion pictures every person ought to watch. Creating such a strong Recommender System is kind of a problem so we are going to give ourselves two pictures. That means we are going to construct it with two totally different Deep Learning fashions.

Our first mannequin shall be Deep Perception Networks, advanced Boltzmann Machines that shall be coated in Half 5. Then our second mannequin shall be with the highly effective AutoEncoders, my private favorites. You’ll respect the distinction between their simplicity, and what they’re able to.

And you’ll even have the ability to apply it to your self or your pals. The checklist of films shall be specific so you’ll merely must price the films you already watched, enter your rankings within the dataset, execute your mannequin and voila! The Recommender System will inform you precisely which motion pictures you’d love one evening you if are out of concepts of what to observe on Netflix!

— Abstract —

In conclusion, that is an thrilling coaching program stuffed with instinct tutorials, sensible workout routines and actual-World case research.

We’re tremendous obsessed with Deep Learning and hope to see you inside the category!

Kirill & Hadelin

Who’s the audience?

  • Anybody concerned about Deep Learning
  • College students who’ve at the very least highschool information in math and who wish to begin studying Deep Learning
  • Any intermediate stage individuals who know the fundamentals of Machine Learning or Deep Learning, together with the classical algorithms like linear regression or logistic regression and extra superior matters like Artificial Neural Networks, however who wish to be taught extra about it and discover all of the totally different fields of Deep Learning
  • Anybody who is just not that snug with coding however who’s concerned about Deep Learning and desires to use it simply on datasets
  • Any college students in faculty who wish to begin a profession in Knowledge Science
  • Any information analysts who wish to stage up in Deep Learning
  • Any people who find themselves not happy with their job and who wish to develop into a Knowledge Scientist
  • Any individuals who wish to create added worth to their enterprise through the use of highly effective Deep Learning instruments
  • Any enterprise homeowners who wish to perceive find out how to leverage the Exponential know-how of Deep Learning of their enterprise
  • Any Entrepreneur who desires to create disruption in an business utilizing probably the most leading edge Deep Learning algorithms

Created by Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Workforce
Final up to date 12/2019
English, French [Auto-generated]

Dimension: 3.06 GB


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