Autoencoders
What is Autoencoders? Autoencoders, a fascinating subset of neural networks, serve as a bridge between the input and a reconstructed output, operating under the principle of data encoding and decoding. At their core, these models are designed to learn efficient representations of data, often for the purpose of dimensionality reduction or feature learning. Basics of […]
Generative Adversarial Networks (GANs)
What is a generative adversarial network? At the heart of some of the most groundbreaking advancements in AI, Generative Adversarial Networks, or GANs, present a fascinating method for generating data that is virtually indistinguishable from real-world data. These networks are made up of two models: generators and discriminators. The generator creates new data instances, while […]
AI Regulations and Governance
What is a regulation in artificial intelligence? The landscape of artificial intelligence (AI) is as dynamic as it is revolutionary, weaving into the very fabric of our daily lives and reshaping the boundaries of what’s possible. Yet, with great power comes the undeniable need for regulation and governance. This necessity is not born out of […]
Policy Gradient Methods
Policy Gradient Methods Reinforcement Learning Delving into the realm of reinforcement learning, policy gradient methods stand out as a strategy that directly tweaks the policy, mapping states to actions, to enhance performance. Unlike methods that estimate value functions, policy gradient methods adjust the policy parameters (θ) by ascending along the gradient of the expected reward. […]
Q-Learning and Deep Q Networks (DQNs)
What is Q-learning and deep Q network? In the vast landscape of artificial intelligence, reinforcement learning stands out as a powerful paradigm, enabling agents to learn optimal behavior through trial and error. Among its arsenal of techniques, Q-learning and Deep Q Networks (DQNs) emerge as beacons of innovation, illuminating paths to navigate complex decision spaces […]
Machine Translation
The Evolution to Neural Machine Translation The journey of machine translation (MT) has been nothing short of revolutionary, evolving through various phases to arrive at what we know today as Neural Machine Translation (NMT). Unlike its predecessors, NMT leverages deep learning and artificial neural networks to process and translate text. This method has significantly improved […]
Basics of NLP
What is NLP (Natural Language Processing) ? Natural Language Processing (NLP) stands as a fascinating intersection between linguistics and computer science, aiming to bridge the gap between human communication and machine understanding. At its core, NLP endeavors to enable machines to interpret, comprehend, and mimic human language in a way that is both meaningful and […]
Transfer Learning
In the fast-paced landscape of artificial intelligence, where innovation is paramount and resources are finite, the concept of transfer learning stands as a beacon of efficiency and ingenuity. Imagine a world where the groundwork for complex tasks has already been laid out, where the heavy lifting of model training has been done, and all that […]
Convolutional Neural Networks (CNNs)
What is Convolutional Neural Networks ? In the exciting world of artificial intelligence, there’s a big challenge: teaching machines to see and understand pictures. But guess what? We’ve made a huge breakthrough! It’s called Convolutional Neural Networks, or CNNs for short. CNNs are super smart computer systems inspired by how our own eyes and brains […]
Evaluation and Model Selection
Are you ready to embark on the exciting journey of model selection? Before you dive in, it’s essential to understand the tools that will guide you through this process. Performance metrics are like your trusty compass and map, helping you navigate the vast landscape of machine learning models. What is Performance Metrics in Evaluation and […]