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Build Your First Nueral Network: Basic Image Classification Using Keras

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Posted by Salman Ahmad

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Artificial Intelligence8 Big Data2 Coding18 Coding Books1 Computer Vision2 Deep Learning5 Deep Learning Books1 Gadgets2 Getting Started3 Java3

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Build Your First Nueral Network: Basic Image Classification Using Keras

Image classification is one of the most important problem to solve in machine learning. It can provide vital solutions to a variety of computer vision problems, such as face recognition, character recognition, object avoidance in autonomous vehicles and many others. Convolutional Neural Network (CNN), since its inception has been used for image classification and other computer vision problems. It is called convolutional neural network because of convolutional layer. Keras is a high level library which provides an easy way to get started with machine learning and neural networks. It will be used here to implement CNN to classify handwritten digits of MNIST dataset.
Image Classification is a process to determine which of the given classes an input image belongs to. CNNs represent a huge breakthrough in image classification. In most cases, CNN outperforms other image classification methods and provides near to human-level accuracy. CNN models do not simply spit the class name the inp…

Unsupervised Singing Voice Conversion: Facebook's AI Can Convert Your Voice Into Any Other Singer's Voice

You might have heard of the miracles artificial intelligence is doing these days. From movie recommendation on Netflix to Sophia, the robot, from intelligent humanoids in video games to super intelligent Google Assistant, artificial intelligence is dominating most aspects of our lives. It has an impact on our present and future in either way.
Continuing the pursuit to a technology intensive future, Facebook in collaboration with Tel Aviv University published their new research last week on arxiv.org (Unsupervised Singing Voice Conversion). Researchers at Facebook have trained an intelligent machine which can instantly convert audio of one singer to voice of another singer. You check the sample results here. All that is needed is to record a song in own "beautiful" voice and feed the file to the machine. AI will never disappoint you. The results will astound you.
Summary of the work According to authors of the work,
Our approach could lead, for example, to the ability to fre…

What's The Difference Between Supervised, Unsupervised and Reinforcement Learning?

What's The Difference Between Supervised, Unsupervised and Reinforcement Learning? Machine learning models are useful when there is huge amount of data available, there are patterns in data and there is no algorithm other than machine learning to process that data. If any of these three conditions are not satisfied, machine learning models are most likely to under-perform. Machine learning algorithms find patterns in data and try to learn from it as much as it can. Based on the type of data available and the approach used for learning, machine learning algorithms are classified in three broad categories. Supervised learningUnsupervised learningReinforcement learning An abstract definition of above terms would be that in supervised learning, labeled data is fed to ML algorithms while in unsupervised learning, unlabeled data is provided. There is a another learning approach which lies between supervised and unsupervised learning, semi-supervised learning. Semi supervised learning a…

Where Is Artificial Intelligence Leading The World? To The END?

Less than 100 years old Artificial intelligence (AI), born in the middle of 20th century is ruling over the world. If you think it is not then I would say it is about to rule. It is also said that AI is 5000 years old but who cares. I will go with the younger one.

AI made its way all along from symbolic AI of good old fashioned artificial intelligence to future predicting models and expert systems. It is everywhere, in agriculture, in health, education, finance, media, music, marketing, HR, games, security, and over and beneath the tides of oceans and in the silent space and everywhere you can think of. All I am trying is just to say that AI is ubiquitous Period.

Researchers have made fascinating breakthroughs with breakneck speed but they are still striving to make milestones. AI is no more confined only to Hollywood, it is a reality now. The question is how
this reality would come to us? As a curse or as a blessing?

Max Hawkin, a software engineer, consciously submitted his will t…

Introduction to Data Science: What is Big Data?

What Is Big Data First, we will discuss how big data is evaluated step by step process. Evolution of Data How the data evolved and how the big data came. Nowadays the data have been evaluated from different sources like the evolution of technology, IoT(Internet of Things), Social media like Facebook, Instagram, Twitter, YouTube, many other sources the data has been created day by day. 1. Evolution of Technology We will see how technology is evolved as we see from the below image at the earlier stages we have the landline phone but now we have smartphones of Android, IoS, and HongMeng Os (Huawei) that are making our life smarter as well as our phone smarter. Apart from that, we have heavily built a desktop for processing of Mb's data that we were using a floppy you will remember how much data it can be stored after that hard disk has been introduced which can stored data in Tb. Now due to modern technology, we can be stored data in the cloud as well. Similarly, nowadays we noticed …

Artificial Intelligence Vs Machine Learning Vs Deep Learning

Artificial Intelligence Vs Machine Learning Vs Deep Learning Artificial intelligence, deep learning and machine learning are often confused with each other. These terms are used interchangeably but do they do not refer to the same thing. These terms are closely related to each other which makes it difficult for beginners to spot differences among them. The reason I think of this puzzle is that AI is classified in many ways. It is divided into subfields with respect to the tasks AI is used for such as computer vision, natural language processing, forecasting and prediction, with respect to the type of approach used for learning and the type of data used. Subfields of Artificial Intelligence have much in common which makes it difficult for beginners to clearly differentiate among these areas. Different approaches of AI can process similar data to perform similar tasks. For example Deep learning and SVM both could be used for object detection task. Both have pros and cons. In some cases…

How Computers Understand Human Language?

How Computers Understand Human Language? Natural languages are the languages that we speak and understand, containing large diverse vocabulary. Various words have several different meanings, speakers with different accents and all sorts of interesting word play. But for the most part human can roll right through these challenges. The skillful use of language is a major part what makes us human and for this reason the desire for computers that understand or speak human language has been around since they were first conceived. This led to the creation of natural language processing or NLP.
Natural Language Processing is a disciplinary field combining computer science and linguistics. There is an infinite number of ways to arrange words in a sentence. We can't give computers a dictionary of all possible sentences to help them understand what humans are blabbing on about. So, an early and fundamental NLP problem was deconstructing sentences into small pieces which could be more easily…

How To Become A Successful Programmer?

How To Become A Successful Programmer? I have heard many novice programmers saying I want to get better at programming but there is hardly a slight improvement in their skills. I have observed that most of them say they want to get better but that is just a wish. They do not really mean it. They mere wish to improve their skills. They do not work for it. Your wish does not guarantee that you will become a successful programmer. Many other people who have developed an interest in computer programming do not know how to reach to a point where they will be called successful programmers. They either keep wandering in the middle of nowhere or just give up. The same response is for them too as it was for the wishers. Your interest does not guarantee that you will succeed. Programming is a field which requires intensive work to master. Along with improving your technical knowledge of programming, you need to work on your interest. You need to develop a habit of not giving up. You need to…

How Big Data Analytics Can Help You Improve And Grow Your Business?

Big Data Analytics There are certain problems that can only solve through big data. Here we discuss the field big data as "Big Data Analytics". The big data came into the picture we never thought how commodity hardware is used to store and manage the data which is reliable and feasible as compared to the costly sources. Now let us discuss a few examples of how big data analytics is useful nowadays. When you go to websites like Amazon, Youtube, Netflix, and any other websites actually they will provide some field in which recommend some product, videos, movies, and some songs for you. What do you think about how they do it? Basically what kind of data they generated on these kind websites. They make sure to analyze properly. The data generated is not small it is actually big data. Now they analysis these big data they make sure whatever you like and whatever you are the preferences accordingly they generate recommendations for you. If you go to Youtube you have noticed it kn…

The must have books for JavaScript in 2019

JavaScript has been a favorite language to developers throughout recent few years. It was initially supported by web browsers but soon after its release, server side implementations of the language were introduced by different organizations like Netscape, Microsoft and the open-source Node.js. It is not only used for designing webpages but for databases, server scripting and for mobile and desktop applications too. One of the most prominent reasons to learn JavaScript is its enormous community and its products. There are a number of cool JavaScript libraries which makes the life of a developer very easy. ECMA International has introduced the ECMA2017 standards which are quite effective and saves enough amount of time. With all this, the community has made large efforts to bring Machine Learning and JavaScript together. Taking all these into consideration, JavaScript seems worth our time.

If you are a beginner or an intermediate JavaScript developer, we suggest you some books which yo…

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