Neural Networks
Neural Networks

Neural Networks

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Decoding Neural Architecture: Empowering the Foundation of Generative AI

Generative AI is revolutionizing technology by enabling the creation of new data, like text and images. Its potential lies in latent space manipulation and innovative neural architectures that enhance creativity. As AI continues to evolve, it’s crucial…

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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 show…

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Deep Learning – Backpropagation Algorithm Basics

Backpropagation Algorithm – An important mathematical tool for making better and high accuracy predictions in machine learning. This algorithm uses supervised learning methods for training Artificial Neural Networks. The whole idea of training multi-layer perceptrons is to compute the derivatives of the error function or gradient descent with respect […]

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Deep Learning HomeTag Neural Networks

Deep Learning – Introduction to Recurrent Neural Networks

“Artificial neural networks (ANNs) are biologically inspired computing code with number of simple, highly interconnected processing elements for simulating human brain workings to process information model”.

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Demystifying Deep Learning – Back to Basics

Deep learning is a learning scheme that approaches the learning problem by learning the underlying representations; too much of learning. I thats why its also called as representation learning.

The post Demystifying Deep Learning – Back to Basics appeared first on Vinod Sharma’s Blog.

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Updating the Definition of ‘Data Scientist’ as Machine Learning Evolves

By Bernardo Lustosa, Partner, cofounder, and COO at ClearSale In the early days of machine learning, hiring good statisticians was the key challenge for AI projects. Now, machine learning has evolved from its early focus on statistics to more emphasis on computation. As the process of building algorithms has become simpler and the applications for AI […]

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Here are 22 Selected Top Papers on Deep Learning

By Asif Razzaq, Digital Health Business Strategist, cofounder MarkTechPost 1. Deep Learning, by Yann L., Yoshua B. & Geoffrey H. (2015) Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, visual object […]

Deep Reinforcement Learning HomeTag machine learning Neural Networks reinforcement learning

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.

The post Reinforcement Learning – Reward for Learning appeared first on Vinod Sharma’s Blog.

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Scientists Develop AI System That Can See What You Are Thinking

A group of Japanese computer scientists has developed a new AI system that can visualize human thoughts. The technology can “see” the human thought or convert them into pictures. It’s always frightening to know that another person can read your thoughts. Imagine the case where technology can see what you are thinking! How It Works – […]

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DATA – Blue Ocean Shift Strategy (Boss)

BOSS – Blue Ocean Shift Strategy can actually help and create vision to focus on areas such as AI, blockchain for education, health & agriculture, create ecosystems using BigData analytics and IoT. To capture a quick snapshot of this strategy, cer…