PinnedDemystifying Object Detection: A Deep Dive into RCNN, Fast RCNN, and Faster RCNNIntroductionDec 22, 2024Dec 22, 2024
PinnedDecoding CNNs: A Beginner’s Guide to Convolutional Neural Networks and their ApplicationsIn the world of artificial intelligence, Convolutional Neural Networks (CNNs) are one of the most powerful tools used to process and…Dec 30, 2024Dec 30, 2024
PinnedDetecting Vehicles in Videos with Faster R-CNN: A Step-by-Step GuideIn the age of AI, computer vision continues to play a pivotal role in solving real-world problems. From autonomous driving to traffic…Jan 3Jan 3
PinnedAgentic AI: Understanding Autonomous Intelligence, Architecture, and Real-World ApplicationsArtificial intelligence has transformed the way we interact with technology. Among the various branches of AI, Agentic AI stands out for…Jan 4Jan 4
Understanding GPT: A Simple Explanation of Its Architecture and ApplicationsIn the world of artificial intelligence (AI), one of the most advanced models today is GPT (Generative Pre-trained Transformer). GPT has…4d ago4d ago
BERT vs GPT: A Guide to Two Powerful Language ModelsIn the world of natural language processing (NLP), two powerful models have taken the spotlight: BERT and GPT. While both are based on deep…Jan 16Jan 16
Building a Seq2Seq Transformer Model for Language Translation: A Comprehensive GuideLanguage translation has always been a fascinating task in the field of Natural Language Processing (NLP). With the advent of deep…Jan 15Jan 15
GRU Explained: The Simplified RNN Solution for Sequential DataRecurrent Neural Networks (RNNs) have proven to be a great solution for processing sequential data. But RNNs are often challenged by a…Jan 12Jan 12
How LSTMs Solve the Vanishing Gradient Problem in Sequential Data?Long Short-Term Memory (LSTM) is a special type of neural network architecture that is great for handling sequences of data — like time…Jan 9Jan 9
Building a Fashion Recommendation System Using Image FeaturesIn today’s digital age, recommendation systems have become an integral part of our lives. From suggesting movies on Netflix to recommending…Jan 7Jan 7
