This bundle includes two audiobooks: Neural Networks and Deep Learning!Audiobook one: Neural Networks: Step-by-Step | Understand How Neural Networks Work, Starting with Simple Ideas. Machines are observing your habits, learning your patterns, and adjusting their behavior accordingly. Understand the concepts behind this amazing technology, step-by-step.A machine capable of learning is already here; it is real, and it is exciting. Many may not be aware of it, but it already plays an important role in our lives in many ways. Ever wonder how all those lists of websites can come up so quickly when you do a Google search? What about how Amazon knows exactly what to recommend to you every time you visit their website? And what about how Netflix can choose a list of shows that suit your taste perfectly? How these computers are capable of doing all of these things is the subject of this audiobook. Using this audiobook as a guide, we’ll come to understand how the art of neural networks has made it possible for computer science to turn in a whole new direction, opening the doors to an amazing new era of technology.Even as a novice in this industry, you will understand the basics of what neural networks are, how they work, and the many tasks you can apply them to, including:Algorithms and how they workThe concepts behind neural networksThe basic architecture of a neural networkThe different technical aspects of these programsThe different types of neural networksAudiobook two: Deep Learning: Step-by-Step | A Sensible Guide Presenting the Concepts of Deep Learning with Real-World Examples. Have you ever wondered how large corporations like Amazon, Google, Facebook, and Twitter know so much about you? How do the same advertisements keep showing up wherever you go? Ever used Google Translate to communicate with someone who didn’t speak your la 1. Language: English. Narrator: Matyas J. Audio sample: http://samples.audible.de/bk/acx0/125292/bk_acx0_125292_sample.mp3. Digital audiobook in aax.
Ever wonder how all those lists of websites can come up so quickly when you do a Google search? What about how Amazon knows exactly what to recommend to you every time you visit their website? And what about how Netflix can choose a list of shows that suit your taste perfectly? A machine capable of learning is already here; it is real, and it is exciting. Many may not be aware of it, but it is already an important role in our lives in many ways. How these computers are capable of doing all these things is the subject of this audiobook. Using this audiobook as a guide, we’ll come to understand how the art of neural networks has made it possible for computer science to turn in a whole new direction, opening the doors to an amazing new era of technology. Throughout this audiobook, you’ll learn: About algorithms and how they work The basic concepts behind neural networks The basic architecture of a neural network The different technical aspects of these programs The different types of neural networks Even as a novice in this industry, you’ll understand the basics of what neural networks are, how they work, and the many tasks to which you can apply them. You’ll also learn how they are already used today in our lives and what we can expect to see in the very near future. We’re sure that by the time you reach the end of this audiobook, you’ll be full of ideas and fired up to learn even more in the future. 1. Language: English. Narrator: Matyas J.. Audio sample: http://samples.audible.de/bk/acx0/118591/bk_acx0_118591_sample.mp3. Digital audiobook in aax.
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Are you confused about what all the rage behind artificial intelligence is and would like to learn more?This audiobook covers everything from machine learning to robotics and the internet of things.You can use it as a nifty guidebook whenever you come across news headlines that talk about some new advancement in AI by Google or Facebook.By the time you finish listening, you will be aware of what artificial neural networks are, how gradient descent and back propagation work, and what deep learning is.You will also learn a comprehensive history of AI, from the first invention of automations in antiquity to the driverless cars of today.Here’s just a tiny fraction of what you’ll discover:Understand how machines can ´´think” and how they learnLearn the five reasons why experts are warning us about AI researchFind the answers to the top six myths of artificial intelligenceLearn what neural networks are and how they work, the ´´brains” of machine learningUnderstand reinforcement learning and how it is used to teach machine learning systems through experienceBecome up-to-date with the current state-of-the-art artificial intelligence methods that use deep learningLearn the basics of recommender systemsExpand your current view of machines and what is possible with modern roboticsEnter the vast world of the internet of things technologiesFind out why AI is the new business degreeAnd much, much more! 1. Language: English. Narrator: Brian R. Scott. Audio sample: http://samples.audible.de/bk/acx0/143624/bk_acx0_143624_sample.mp3. Digital audiobook in aax.
If you are looking for a complete beginners guide to learn deep learning with examples in just a few hours, then you need to continue reading. This book delves into the basics of deep learning for those who are enthusiasts concerning all things machine learning and artificial intelligence. For those who have seen movies which show computer systems taking over the world like Terminator, or benevolent systems that watch over the population, like Person of Interest, this should be right up your alley. This book will give you the basics of what deep learning entails. That means frameworks used by coders and significant components and tools used in deep learning that enable facial recognition, speech recognition, and virtual assistance. Yes, deep learning provides the tools through which systems like Siri became possible. Discover: Deep learning utilizes frameworks which allow people to develop tools which are able to offer better abstraction, along with simplification of hard programming issues. TensorFlow is the most popular tool and is used by corporate giants such as Airbus, Twitter, and even Google.The book illustrates TensorFlow and Caffe2 as the prime frameworks that are used for development by Google and Facebook. Facebook illustrates Caffe2 as one of the lightweight and modular deep learning frameworks, though TensorFlow is the most popular one, considering it has a lot of popularity, and thus, a big forum, which allows for assistance on main problems.The book considers several components and tools of deep learning such as the neural networks, CNNs, RNNs, GANs, and auto-encoders. These algorithms create the building blocks which propel deep learning and advance it.The book also considers several applications, including chatbots and virtual assistants, which have become the main focus for deep learning into the future, as they represent the next frontier in information 1. Language: English. Narrator: Christopher Nieten. Audio sample: http://samples.audible.de/bk/acx0/126237/bk_acx0_126237_sample.mp3. Digital audiobook in aax.
Dream Creatures (Wall Calendar 2020 300 × 300 mm Square):Dream Creatures, created with Google´s artificial intelligence neural network software DeepDream. (Monthly calendar, 14 pages ). 5. Edition 2019 B. Hilmer-Schroeer And Ralf Schroeer
Dream Creatures (Wall Calendar 2019 300 × 300 mm Square):Dream Creatures, created with Google´s artificial intelligence neural network software DeepDream. (Monthly calendar, 14 pages ) CALVENDO Science. 4. Edition 2018 B. Hilmer-Schroeer And Ralf Schroeer
Deep learning is applicable to a widening range of artificial intelligence problems, such as image classification, speech recognition, text classification, question answering, text-to-speech, and optical character recognition. Deep Learning with Python is structured around a series of practical code examples that illustrate each new concept introduced and demonstrate best practices. By the time you reach the end of this book, you will have become a Keras expert and will be able to apply deep learning in your own projects. KEY FEATURES ? Practical code examples ? In-depth introduction to Keras ? Teaches the difference between Deep Learning and AI ABOUT THE TECHNOLOGY Deep learning is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more. AUTHOR BIO Francois Chollet is the author of Keras, one of the most widely used libraries for deep learning in Python. He has been working with deep neural networks since 2012. Francois is currently doing deep learning research at Google. He blogs about deep learning at blog.keras.io.
This is the bundle of two successful audiobooks in the market!In Deep Learning for Beginners: A Comprehensive Introduction of Deep Learning Fundamentals for Beginners to Understanding Frameworks, Neural Networks, Large Datasets, and Creative Applications with Ease, you will learn:Deep learning utilizes frameworks which allow people to develop tools able to offer better abstraction, along with simplification of hard programming issues TensorFlow and Caffe2 as the prime frameworks that are used for development by Google and Facebook Several components and tools of deep learning, such as the neural networks, CNNs, RNNs, GANs, and auto-encodersSeveral applications, including chatbots and virtual assistants, which have become the main focus for deep learning into the future, as they represent the next frontier in information gathering and connectivityAnd much moreIn Data Science from Scratch: The #1 Data Science Guide for Everything a Data Scientist Needs to Know: Python, Linear Algebra, Statistics, Coding, Applications, Neural Networks, and Decision Trees, you will learn:In-depth information about what data science is and why it is importantThe prerequisites you will need to get started in data scienceWhat it means to be a data scientistThe roles that hacking and coding play in data scienceThe different coding languages that can be used in data science Why python is so importantHow to use linear algebra and statistics The different applications for data science. How to work with the data through munging and cleaningAnd much moreGet your copy of these fantastic audiobooks to master state-of-the-art deep-learning algorithms and their implementation! 1. Language: English. Narrator: Christopher Nieten. Audio sample: http://samples.audible.de/bk/acx0/128109/bk_acx0_128109_sample.mp3. Digital audiobook in aax.