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

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Description

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

Be taught to create Deep Studying Algorithms in Python from two Machine Studying & Information Science specialists. Templates included.

What you’ll be taught

Deep Studying A-Z™: Palms-On Synthetic Neural Networks Course Catalog

  • Perceive the instinct behind Artificial Neural Networks
  • Apply Artificial Neural Networks in observe
  • Perceive the instinct behind Convolutional Neural Networks
  • Apply Convolutional Neural Networks in observe
  • Perceive the instinct behind Recurrent Neural Networks
  • Apply Recurrent Neural Networks in observe
  • Perceive the instinct behind Self-Organizing Maps
  • Apply Self-Organizing Maps in observe
  • Perceive the instinct behind Boltzmann Machines
  • Apply Boltzmann Machines in observe
  • Perceive the instinct behind AutoEncoders
  • Apply AutoEncoders in observe

Necessities

  • Highschool arithmetic degree
  • Primary Python programming information

Description

*** As seen on Kickstarter ***

Synthetic 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 docs and Google Deepmind’s AlphaGo beat the World champion at Go – a sport the place instinct performs a key position.However the additional AI advances, the extra advanced develop into the issues it wants to unravel. And solely Deep Studying can remedy such advanced issues and that’s why it’s on the coronary heart of Synthetic intelligence.

— Why Deep Studying A-Z? —

Listed here are 5 causes we expect Deep Studying A-Z™ actually is totally different and stands out from the gang of different coaching packages on the market:

1. ROBUST STRUCTURE 

The primary and most vital factor we targeted on is giving the course a sturdy construction. Deep Studying may be very broad and sophisticated and to navigate this maze you want a transparent and world imaginative and prescient of it.

That’s why we grouped the tutorials into two volumes, representing the 2 basic branches of Deep Studying: Supervised Deep Studying and Unsupervised Deep Studying.

2. INTUITION TUTORIALS

So many programs and books simply bombard you with the speculation, and math, and coding… However they overlook to clarify, maybe, crucial halfwhy you’re doing what you’re doing. And that’s how this course is so totally different. We give attention to creating an intuitive *really feel* for the ideas behind Deep Studying algorithms.

With our instinct tutorials, you’ll be assured that you simply perceive all of the strategies on an instinctive degree. And when you proceed to the hands-on coding workout routines you will notice for your self how rather more significant your expertise might be. This can be a game-changer.

3. EXCITING PROJECTS

Sure? Effectively, then you definately’re in for a deal with.Inside this class we’ll work on Actual-World datasets, to unravel Actual-World enterprise issues. (Undoubtedly not the boring iris or digit classification datasets that we see in each course). On this course we’ll remedy six real-world challenges:

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

*Stacked Autoencoders is a model new approach in Deep Studying which didn’t even exist a few years in the past. We haven’t seen this technique defined wherever else in ample depth. Deep Studying A-Z™: Palms-On Synthetic Neural Networks Course Catalog

4. HANDS-ON CODING 

In Deep Studying 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 fashion you may observe alongside and perceive precisely how the code comes collectively and what every line means.

As well as, we’ll purposefully construction the code in such a method with the intention to obtain it and apply it in your personal tasksFurthermore, we clarify step-by-step the place and learn 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 that naturally extends into your profession.

5. IN-COURSE SUPPORT

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

Effectively, this course is totally different. With that comes a accountability to consistently be there once you want our assist.

In actual fact, since we bodily additionally must eat and sleep now we have put collectively a group {of professional} Information Scientists to assist us out. Everytime you ask a query you’re going to get a response from us inside 48 hours most. – Course CatalogNo matter how advanced your question, we might be there. The underside line is we wish you to succeed.

Deep Studying A-Z™: Palms-On Synthetic Neural Networks Course Catalog

— The Instruments —

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

Firms utilizing Tensorflow embody Airbnb, Airbus, eBay, Intel, Uber and dozens extra.

Firms utilizing PyTorch embody Twitter, Salesforce, and Fb.

So which is healthier and for what?

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

The fascinating factor is that each these libraries are barely over 1 yr outdated. That’s what we imply after we say that on this course we train you probably the most innovative Deep Studying fashions and strategies.

Extra Instruments —

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

Keras is an unbelievable library to implement Deep Studying fashions. It acts as a wrapper for Theano and Tensorflow. Due to Keras we are able to create {powerful} and sophisticated Deep Studying fashions with only some strains of code. That is what’s going to help you have a worldwide imaginative and prescient of what you’re creating. All the pieces you make will look so clear and structured because of this library, that you’ll actually get the instinct and understanding of what you’re doing.

— Even Extra Instruments —

Scikit-learn probably the most sensible Machine Studying library. We’ll primarily use it:

  • to judge the efficiency of our fashions with probably the most related approach, k-Fold Cross Validation
  • discover ways to enhance our fashions with efficient Parameter Tuning
  • to preprocess our knowledge, in order that our fashions can be taught in the very best situations

And naturally, now we have to say the standard suspects. This complete course is predicated on Python and in each single part, you’ll be getting hours and hours of invaluable hands-on sensible coding expertise. Course CatalogPlus, all through the course we might 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? —

If you’re simply beginning out into Deep Studyingthen you’ll find this course extraordinarily helpful. 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 Studyingyou’ll find this course refreshing, inspiring and really sensible. Inside Deep Studying A-Z™ you’ll grasp among the most cutting-edge Deep Studying algorithms and strategies (a few of which didn’t even exist a yr in the past) and thru this course, you’ll achieve an immense quantity of beneficial hands-on expertise with real-world enterprise challenges. Plus, inside you’ll find inspiration to discover new Deep Studying expertise and purposes.

— Actual-World Case Research

Mastering Deep Studying is not only about figuring out the instinct and instruments, it’s additionally about having the ability to apply these fashions to real-world eventualities and derive precise measurable outcomes for the enterprise or challenge. 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. To make this dataset, the financial institution gathered info comparable 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 clients left or stayed within the financial institution.

Your objective is to make an Synthetic Neural Community that may predict, based mostly on geo-demographical and transactional info given above, if any particular person buyer will depart the financial institution or keep (buyer churn). To do this, you will have to make use of the fitting Deep Studying mannequin, one that’s based mostly on a probabilistic strategy. Deep Studying A-Z™: Palms-On Synthetic Neural Networks Course Catalog

If you happen to succeed on this challenge, you’ll create vital added worth to the financial institution. By making use of your Deep Studying mannequin the financial institution might considerably cut back buyer churn.

#2 Picture Recognition

On this half, you’ll create a Convolutional Neural Community that is ready to detect numerous objects in photos. We’ll implement this Deep Studying mannequin to acknowledge a cat or a canine in a set of images.For instance, it is possible for you to to coach the identical mannequin on a set of mind photos, to detect in the event that they comprise a tumor or not. However if you wish to preserve it fitted to cats and canine, then you’ll actually be capable to take an image of your cat or your canine, and your mannequin will predict which pet you may have. We even examined it out on Hadelin’s canine!

#3 Inventory Value Prediction

On this half, you’ll create probably the most {powerful} Deep Studying fashions. We’ll even go so far as saying that you’ll create the Deep Studying mannequin closest to Synthetic Intelligence”. Why is that? As a result of this mannequin may have long-term reminiscence, similar to us, people.

The department of Deep Studying which facilitates that is Recurrent Neural Networks. Basic RNNs have a brief reminiscence and have been neither widespread nor {powerful} for this precise purpose. However a current main enchancment in Recurrent Neural Networks gave rise to the recognition of LSTMs (Lengthy Quick Time period Reminiscence RNNs) which has fully modified the enjoying subject. We’re extraordinarily excited to incorporate these cutting-edge deep studying strategies in our Course Catalog!

On this half, you’ll discover ways to implement this ultra-powerful mannequin, and we’ll take the problem to make use of it to foretell the true Google inventory worth.

 #4 Fraud Detection

Based on a current report revealed by Markets & Markets, the Fraud Detection and Prevention Market goes to be price $33.19 Billion USD by 2021. This can be a big trade and the demand for superior Deep Studying 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 Studying Fashions. The enterprise problem right here is about detecting fraud in bank card purposes.That is the information that clients supplied when filling the applying type. Your process is to detect potential fraud inside these purposes. That implies that by the tip of the problem, you’ll actually give you an express record of shoppers who doubtlessly cheated on their purposes.

#5 & 6 Recommender Techniques

From Amazon product recommendations to Netflix film suggestions – good recommender techniques are very beneficial in right this moment’s World. And specialists who can create them are among the top-paid Information Scientists on the planet.

We’ll work on a dataset that has precisely the identical options because the Netflix dataset: loads of motion pictures, 1000’s of customers, who’ve rated the films they watched.

Your ultimate Recommender System will be capable to predict the scores of the films the purchasers didn’t watch. Accordingly, by rating the predictions from 5 all the way down to 1, your Deep Studying mannequin will be capable to advocate which motion pictures every person ought to watch. Creating such a robust Recommender System is sort of a problem so we’ll give ourselves two pictures. That means we’ll construct it with two totally different Deep Studying fashions.

And you’ll even be capable to apply it to your self or your pals. The record of flicks might be express so you’ll merely must fee the films you already watched, enter your scores 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 full of instinct tutorials, sensible workout routines and real-World case research.

We’re tremendous smitten by Deep Studying and hope to see you inside the category!

Kirill & Hadelin

Who this course is for:

  • Anybody concerned with Deep Studying
  • College students who’ve at the very least highschool information in math and who need to begin studying Deep Studying
  • Any intermediate degree individuals who know the fundamentals of Machine Studying or Deep Studying, together with the classical algorithms like linear regression or logistic regression and extra superior matters like Synthetic Neural Networks, however who need to be taught extra about it and discover all of the totally different fields of Deep Studying
  • Any college students in school who need to begin a profession in Information Science
  • Anybody knowledge analysts who need to degree up in Deep Studying
  • Any individuals who need to create added worth to their enterprise through the use of {powerful} Deep Studying instruments
  • Anybody enterprise house owners who need to perceive learn how to leverage the Exponential know-how of Deep Studying of their enterprise
  • Any Entrepreneur who desires to create disruption in an trade utilizing probably the most innovative Deep Studying algorithms
  • Studying HTML5 and HTML as quick as attainable Course
  • Final up to date 4/2020

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license

General Public License (GPL)

high-resolution

Yes

gutenberg-optimized

Yes

documentation

Well Documented

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Responsive

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