Adit Deshpande writes about deep learning, machine learning research, and AI concepts with a strong focus on clarity and intuition. His blog breaks down influential papers, neural networks, and real-world ML applications for beginners and practitioners alike.
10 articles from this blog
A retrospective on the transformative impact of deep learning over the past five years, covering its rise, key applications, and future potential.
Explores how machine learning concepts like neural network training and optimization mirror daily life challenges and decision-making processes.
A developer explores using deep learning and sequence-to-sequence models to train a chatbot on personal social media data to mimic their conversational style.
Explores using machine learning algorithms to predict outcomes in the NCAA March Madness basketball tournament, analyzing data and modeling techniques.
A deep dive into applying deep learning techniques to Natural Language Processing (NLP), covering word vectors and research paper summaries.
A detailed review and explanation of key research papers in the field of Reinforcement Learning, part of a deep learning series.
A deep dive into Generative Adversarial Networks (GANs), summarizing and explaining key research papers in the field.
Explains the three key research papers behind Facebook's computer vision pipeline for object segmentation: DeepMask, SharpMask, and MultiPathNet.
Summarizes nine key deep learning papers that advanced convolutional neural networks (CNNs) and computer vision over five years.
Explains stride and padding parameters in Convolutional Neural Networks (CNNs), building on Part 1 of the beginner's guide.
