PinnedDhanushKumarVision Transformers -An alternative to CNNIn recent years, vision transformers have emerged as a powerful alternative to CNN for various image processing task.By leveraging the…Jun 17Jun 17
PinnedDhanushKumarPPO AlgorithmProximal Policy Optimization (PPO) is an algorithm in the field of reinforcement learning that trains a computer agent’s decision function…Feb 211Feb 211
PinnedDhanushKumarSkip Connections & ResNet50The need for deeper networks emerges while handling complex tasks. However, training a deep neural net has a lot of complications not only…Jan 121Jan 121
PinnedDhanushKumarUnderstanding Generative Adversarial Networks GANsThis article would cover basic implementaion of GAN with tensorflowOct 14, 2023Oct 14, 2023
DhanushKumarQuantization with UnslothQuantization in LLM is a techniques that are used to reduce the memory footprint and computational requirements of deeplearning models…3d ago3d ago
DhanushKumarWeb Scrapping With AI&LLMWeb scraping is the process of automatically extracting information from websites. It involves fetching a webpage and extracting useful…Sep 3Sep 3
DhanushKumarData LakeA Data Lake is a centralized repository that allows organizations to store vast amounts of raw data in its native format, including…Sep 1Sep 1
DhanushKumarExtract, Transform, Load (ETL)ETL stands for Extract, Transform, Load. It is a data integration process used to combine data from multiple sources, transform it into a…Aug 28Aug 28
DhanushKumarCustomizing PaliGemma: A Guide to Fine Tuning for Targeted ApplicationsFor Code : https://github.com/Idk507/Finetuning_Paligemma/tree/mainAug 7Aug 7
DhanushKumarTopic Modelling with BERTopicBERTopic is a topic modeling technique that leverages BERT (Bidirectional Encoder Representations from Transformers), a powerful language…Jul 1Jul 1