Tag: Deep Learning

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The ABC of Deep Learning – A New Frontier in The Digital Age

Deep learning can learn and understand complex patterns in a way that’s similar to how humans can do it. Deep learning models can understand raw data without any help, but regular machine learning methods need people to recognize specific features before using the data to learn. We do this by using deep neural networks, which have many layers and work like the human brain.

Gated Recurrent Unit

GRU – Gated Recurrent Unit Architecture

The foundational structure of the Gated Recurrent Units (GRUs) represents a recurrent neural network (RNN) architecture utilized within the realm of deep learning and also provides an enhanced computational advantage over the Long Short-Term Memory (LSTM), affording it a distinct preference in specific domains.

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.

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Natural Intelligence to Demystify Artificial Intelligence

Natural Intelligence or Human Intelligence: We are all so preoccupied with producing, reading, taking, and using artificial intelligence by utilizing our natural intelligence that we hope there will be no time or need to reverse this tendency, i.e., employing artificial intelligence to generate natural intelligence.

Deep Learning – Introduction to Artificial Neural Networks

LSTM – Long Short Term Memory Architecture

LSTM is used to solve issues with RNNs processing extensive sequential data. Calling LSTM as an advanced RNNs is not wrong. LSTMs excel in processing sequential data with long-term dependencies. LSTM is utilized for tasks like sentiment analytics, language generation, speech recognition, and video analysis.

Top 5 Deep Learning Applications on Social Media For Businesses

Deep Learning – “It is undeniably mind-blowing” machine learning technique that teaches computers to do what comes naturally to humans: learn by example. It can […]

eCommerce Transformation

Artificial Intelligence | A Hack for eCommerce Transformation

Artificial intelligence has become a significant factor in e-commerce’s current scenario. This study delves into the possibility of utilizing artificial intelligence (AI) to enhance individualized shopping encounters for customers in the retail sector. The study focuses on how retailers can use artificial intelligence technologies to improve customer gratification, allegiance, and interaction.

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The ABCs of Artificial Intelligence: Understanding the Basics

The collaboration among sciences like Artificial intelligence, Physics and Photography  helps to improve how pictures are processed, how computers see things, how lenses work, and all Photography  technology. Machines that are very clever and have been taught well can do things that people usually do with their minds, like understanding things, thinking logically, learning new things, and deciding what to do. AI helps machines become really smart by using tools and strategies. This tells us everything we need to make smart systems, both in theory and practice.

Machine Learning Models and L1 and L2 Regularization

rtificial Intelligence has changed the face of world technology. It is divided into multiple sub-fields as robotics, machine learning, natural language processing, and many more. All these fields had vastly contributed to the development of smartphones, computers, software, and other smart machines. Machine learning is a sub-field of AI which involves research and study based on computer algorithms.

2021 The Year of Transformers – Deep Learning

Transformers are a type of neural network architecture that has gained significant popularity due to their unwavering dedication to achieving optimal results in completing assigned tasks. Deep learning, which is widely recognized as a powerful tool, has significantly transformed the way we operate, proving to be both a lifesaver and a solution to disaster. Big players like OpenAI and DeepMind employ Transformers in their AlphaStar applications. …

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Harnessing the Science of Patterns: Predicting Human Behavior with Machine Learning and Recommendation Engines

The Science of Patterns is an interesting subject that examines and tries to understand how people behave. It uses machine learning to make accurate guesses and suggestions. The act of predicting how people will behave has always been interesting, even from long ago when people relied on their gut feelings. In the world we live in now, people like marketers, politicians, and trial lawyers need to be able to predict what people will do in order to be successful in their jobs.

Neural Networks vs Deep Learning

Deep Learning Vs Neural Networks – Demystifying the Differences

Deep learning, also called a subset of machine learning which is a specialist with an extremely complex skillset in order to achieve far better results from the same data set. It purely on the basis of NI (Natural Intelligence) mechanics of the biological neuron system. It has a complex skill set because of methods it uses for training i.e. learning in deep learning is based on “learning data representations” rather than “task-specific algorithms.”

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Payments Resilience: Navigating the Ever-Changing Fintech Landscape

In the fast-paced world of fintech, where innovations and disruptions constantly shape the financial industry, one aspect has remained a consistent darling: payments. The way we pay for goods and services has undergone a remarkable transformation over the years, driven by advancements in technology and evolving consumer expectations. This essay delves into the significance of payments in the fintech landscape, exploring its evolution, current trends, and future prospects.

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.

Boltzmann Machines

Deep Learning – Introduction to Boltzmann Machines

The Boltzmann machine, a type of stochastic spin-glass model with an external field, has been subject to various nomenclatures including the Sherrington-Kirkpatrick model with an external field and the Ising-Lenz-Little model. The present work provides a demonstration of a deviation from the conventional Sherrington-Kirkpatrick model, which pertains to the realm of stochastic Ising models.