Tag: Neural Networks
What are Neural Networks? | Strong and Jovial Plain Text
The human brain is an impressive feat of cognitive engineering, giving us the upper-hand when it comes to coming up with original ideas and concepts. We’ve even managed to create the wheel – something that not even our robot friends could do! This shows just how far we’ve come in terms of evolution – proving that humans are true masters of invention.
Share this:
Generative Adversarial Networks: The Art of Powerful AI Creativity
Generative Adversarial Networks (GANs) consist of two main components: a generator network and a discriminator network. The generator network generates synthetic data samples, while the discriminator network aims to distinguish between real and fake data. The two networks are trained simultaneously in an adversarial process, pushing each other to improve their performance. Here is a detailed explanation of the architecture and components of GANs.
Share this:
Deep Learning – Driving the Innovation in NLP
Natural language processing, one of the most important technologies of today’s information age. It’s everywhere and used on almost at every instance in daily life like emails, machine translation, google search, virtual agents etc. In recent times deep learning has obtaining too much attraction and respect from the industry which helps nlp to avoid traditional, task-specific feature engineering. The performance across many different NLP tasks, using single end-to-end neural model has achieved significant improvement.
Share this:
Role of Convolutional Layer in Convolutional Neural Networks
The indispensable feature of convolutional neural networks, also denoted as CNNs, is the convolutional layer, which is commonly perceived as the pivotal and fundamental component that confers CNNs their appellation. The current layer is engaged in conducting a computational procedure commonly known as a “convolution”. After the successful initialization of all variables and assigning them with random values, the image of a deer is utilized with specific parameters..
Share this:
Demystifying Deep Learning – Back to Basics
Deep Learning (DL) employs multiple layers of non-linear training units in order to facilitate feature extraction and transformation. The phenomenon of artificial intelligence has induced significant transformation in contemporary enterprises due to its demonstration of a degree of accuracy in specific endeavors that is akin to human capabilities. A variety of tasks, including but not limited to design acknowledgment, pattern recognition, picture classification, and voice/text interpreting, are frequently employed in the respective field under consideration. Self-driving CAR is one of the best examples and biggest achievements so far.
Share this:
Reinforcement Learning – Reward for Learning
Reinforcement learning can be understood by using the concepts of agents, environments, states, actions and rewards. This is an area of machine learning; where there’s no answer key, but RL agent still has to decide how to act to perform its task. The agent is inspired by behaviourist psychology who decide how and what actions will taken in an environment to maximize some notion of cumulative reward.
Share this:
2018 Year of Intelligence – Artificial & Augmentation
Year 2018 will be known as year of Artificial Intelligence and Intelligence Augmentation for sure.We used to think artificial intelligence was a silly sci-fi concept but when you really look into it, it seems like its been slowly encroaching into most areas of everyday life! AI would become just a computer inside the robot or another software or a brain siting out of human body.
Share this:
AI Changing FinTech Modus Operandi
AI in Fintech is a great help & ease for understanding on how the automation can be achieved for automated tasks (yes its true). Machine Learning focuses on predictions, based on known properties learned from the training data using too much statistical inductive reasoning. It’s been said ML works very well as long as past gets repeated in future. Financial chat bots use predictive analytics to push out real-time, informed responses to customers without the need for human intervention.
Share this:
AI The Epicenter of eCommerce
In our todays online shopping how much is artificial intelligence. How artificial intelligence can help retailers to deliver the highly personalized experiences shoppers desire. Ant colony optimization algorithm (To formulate training feed-forward neural networks with ant colony optimization) to obtain the users’ preference information are widely used in todays ecommerce business for comparison-shopping to solve the problem of the user bias’ filtering and learning. The performance improvements are important to both consumers / buyer and sellers / merchants.
Share this:
Artificial Intelligence to Amplify FinTech
This is where fintech companies are successfully leveraging AI. FinTech companies with help of AI are finding cheap, easy and swift methods to apply the technology to an existing business problem at the same time many banks are failing to do so.
Share this:
Machine Learning as a Service – MLaaS
Whoever has the best sense for choosing, organizing, uniqueness to combine machine and human skills outlook from the services to collect, clean and label data sets its a market for them that’s just getting started and millions yes billions of dollars are waiting
Share this:
Harnessing Machine Learning in Payments
ML gets the problem-solving call in conjunction with deep learning artificial neural networks. As these jargons i.e AI, ML, DL or ANN etc may be getting their day in the sun, but they’ve been around for a while. It’s just in the past 5-10 years that they have gained traction, technology that was once niche is now becoming more mainstream and cost-effective reaching to common man. Until recent machine learning was known as historical phenomena in the worlds of academia and supercomputing.
Share this:
Data Science of Payments
How come my bank knows what I am going to buy next, how come my internet browser offering me add on something which I was searching on google few minutes or days backs. How do they know my voice or can recognize my picture without any human intervention. Answer is much simpler then it looks or simpler then the complexity of out own thought process. Use of deep learning
Share this:
Magic Word Pay in Digital Payments
Today’s consumer expects a seamless mobile payment experience; failing to meet those expectations can be devastating to a brand, idea, innovation and eventually the payments industry. The world’s best companies; main from out side of payment / financial domain are rushing (yes rushing) for Digital Transformation for money. Getting inspired by the cutting-edge technologies, innovative products and solutions
