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How To Use GANs When The Training Data Is Unlabelled

With the publication of this paper in 2014, applications of GANs have witnessed a tremendous growth. The Generative-Adversarial networks have been successfully used for high-fidelity natural image synthesis, improving learned image compression and data augmentation tasks. GANs have advanced to…

GANs May Soon Replace Your Stock Brokers. Here’s How

The latest developments in artificial intelligence, especially in the applications of Generative Adversarial Networks (GANs), are helping researchers invade the final frontier of human intelligence. With new papers being released every week, GANs are proving to be a front-runner for…

How Facebook Is Spotting Time-Series Anomalies With AnoGen

  The 2008 financial crisis was a black swan moment for millions of people both inside and outside the tech world when they realised that the computing systems and the infrastructure is not always robust. Non-stop computing systems, especially, require…

Here’s The Truth, GANs Easily Can Fool Intrusion Detection Systems

Cyber Security is one of the best applications of artificial intelligence. It has been used not only to build more secure systems, but also to breach secure systems. There is an estimate that more than 3 trillion dollars were lost…

Deep Learning Is Not So Much A Black Box Anymore, And That’s A Great Development

Although deep learning models have made remarkable progress in a range of tasks such as image recognition, speech recognition and language translation, the interpretability of models has been the subject of various research papers. Netherlands-based company Riscure which specialises in…

Choosing Between GAN Or Encoder Decoder Architecture For ML Applications Is Like Comparing Apples To Oranges

Since the deep learning boom has started, numerous researchers have started building many architectures around neural networks. It is often speculated that the neural networks are inspired by neurons and their networks in the brain. Computational algorithms often mimic and…

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