LazyProgrammer

Deep Learning Fundamentals in Python (eBook, ePUB)

• Format: ePub

Produktbeschreibung

Deep learning is making waves. At the time of this writing (March 2016), Google's AlghaGo program just beat 9-dan professional Go player Lee Sedol at the game of Go, a Chinese board game. Experts in the field of Artificial Intelligence thought we were 10 years away from achieving a victory against a top professional Go player, but progress seems to have accelerated! While deep learning is a complex subject, it is not any more difficult to learn than any other machine learning algorithm. I wrote this book to introduce you to the basics of neural networks. You will get along fine with undergraduate-level math and programming skill. All the materials in this book can be downloaded and installed for free. We will use the Python programming language, along with the numerical computing library Numpy. I will also show you in the later chapters how to build a deep network using Theano and TensorFlow, which are libraries built specifically for deep learning and can accelerate computation by taking advantage of the GPU. Unlike other machine learning algorithms, deep learning is particularly powerful because it automatically learns features. That means you don't need to spend your time trying to come up with and test "kernels" or "interaction effects" - something only statisticians love to do. Instead, we will let the neural network learn these things for us. Each layer of the neural network learns a different abstraction than the previous layers. For example, in image classification, the first layer might learn different strokes, and in the next layer put the strokes together to learn shapes, and in the next layer put the shapes together to form facial features, and in the next layer have a high level representation of faces. Do you want a gentle introduction to this "dark art", with practical code examples that you can try right away and apply to your own data? Then this book is for you. What do I mean by "fundamentals"? When students first hear about deep learning, they often are introduced to the field via some hyped up news article about convolutional neural networks or LSTMs. While this is a fine eventual goal, this is not the place to start when you're first learning about deep learning. All of deep learning depends on one fundamental algorithm, the "secret sauce", if you will. That is what you will learn in this book. You will learn how we get there from basic undergraduate math. You will learn how it can be modified for speed improvements. You will learn how to code it in Numpy, Theano, and TensorFlow. But the most fundamental, important thing, is understanding what "it" is and how "it" works. What happens when you skip over these important fundamentals? If you're reading this book, you probably have some experience with software and programming in a team. More often than not, there is someone on the team who: * Talks about machine learning endlessly, but is barely able to use Sci-Kit Learn. * Can possibly plug-and-play into some pre-written deep learning code, so that it at least runs without errors, but has no idea how to make it work for the problem at hand. If you are on a software team, and you don't know who "that guy" is, YOU could be "that guy"! My goal in this book is to make sure you are not "that guy". I want you to know how deep learning works on a mathematical and algorithmic level. A true computer scientist can take an algorithm, transform it into pseudocode, and transform that into real, working code. At the very highest level, all we are doing is "minimizing cost". Even business people can understand this very intuitive idea. All business try to minimize their costs and maximize their profits. In this book, I will show you how to take an intuitive objective like "minimize cost", and how that eventually results in deep learning. It is nothing mo...

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Produktdetails

• Verlag: LazyProgrammer
• Erscheinungstermin: 26. September 2016
• Englisch
• ISBN-13: 9781370667505
• Artikelnr.: 48322345

Autorenporträt

The Lazy Programmer is a seasoned online educator with an unwavering passion for sharing knowledge. With over 10 years of experience, he has revolutionized the field of data science and machine learning by captivating audiences worldwide through his comprehensive courses and tutorials.

Equipped with a multidisciplinary background, the Lazy Programmer holds a remarkable duo of master's degrees. His first foray into academia led him to pursue computer engineering, with a specialized focus on machine learning and pattern recognition. Undeterred by boundaries, he then ventured into the realm of statistics, exploring its applications in financial engineering.

Recognized as a trailblazer in his field, the Lazy Programmer quickly embraced the power of deep learning when it was still in its infancy. As one of the pioneers, he fearlessly embarked on instructing one of the first-ever online courses on deep learning, catapulting him to the forefront of the industry.

Beyond the realm of education, the Lazy Programmer possesses invaluable hands-on experience that has shaped his expertise. His ventures into online advertising and digital media have yielded astounding results, propelling click-through rates and conversion rates to new heights and boosting revenues by millions of dollars at the companies he's worked for. As a full-stack software engineer, he boasts intimate familiarity with an array of backend and web technologies, including Python, Ruby on Rails, C++, Scala, PHP, Javascript, SQL, big data, Spark, and Redis.

While his achievements in the field of data science and machine learning are awe-inspiring, the Lazy Programmer's intellectual curiosity extends far beyond these domains. His fervor for knowledge leads him to explore diverse fields such as drug discovery, bioinformatics, and algorithmic trading. Embracing the challenges and intricacies of these subjects, he strives to unravel their potential and contribute to their development.

With an unwavering commitment to his students and a penchant for simplifying complex concepts, the Lazy Programmer stands as an influential figure in the realm of online education. Through his courses in data science, machine learning, deep learning, and artificial intelligence, he empowers aspiring learners to navigate the intricate landscapes of these disciplines with confidence.

As an author, mentor, and innovator, the Lazy Programmer leaves an indelible mark on...