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AILabPage is into research & AI based product development across the industry. Our Lab work is completely influence by AI and its subfield i.e Machine Learning and Deep Learning.

We have dedicated attention and focus on Data Science, Big Data Analytics, Consulting & Consultancy, Corporate & Executive Trainings, International Conferences and Seminars around emerging technologies. AILabPage is specialised in AI, Quantum Computing Concept & Data Science workshops and short term courses.

Recent Posts

Deep Learning – Backpropagation Algorithm Basics

by V Sharma, posted in Artificial Neural Networks, Deep Learning

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 to weights using the backpropagation algorithm. This algorithm … Continue reading Deep Learning – Backpropagation Algorithm Basics

Deep Learning – Introduction to Generative Adversarial Neural Networks (GANs)

by V Sharma, posted in Artificial Neural Networks

Generative Adversarial Networks (GANs) – A very young family member of Deep Neural Networks Architecture. Introduce by Ian Goodfellow and his team at the University of Montreal in 2014. GANs are class of unsupervised machine learning algorithm.  Adversarial training “The most interesting idea in the last 10 years in the field of Machine Learning.”            … Continue reading Deep Learning – Introduction to Generative Adversarial Neural Networks (GANs)

Deep Learning – Introduction to Recurrent Neural Networks

by V Sharma, posted in Artificial Neural Networks, Uncategorized

Recurrent Neural Networks – Main use of RNNs are when using google or facebook these interfaces are able to predict next word what you are about to type. RNNs have loops to allow information to persist. RNN’s are considered to be fairly good for modeling sequence data. Recurrent neural networks are linear architectural variant of recursive networks. … Continue reading Deep Learning – Introduction to Recurrent Neural Networks

Deep Learning – Introduction to Convolutional Neural Networks

by V Sharma, posted in Artificial Neural Networks

Convolutional Neural Network – In this article, we will explore our intuitive explanation of convolutional neural networks (CNN’s) on high level. CNN’s are inspired by the structure of the brain but our focus will not be on neural science in here as we do not specialise in any biological aspect. We are going artificial in this … Continue reading Deep Learning – Introduction to Convolutional Neural Networks

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