Published inAI n UPositional Encodings: let us revise togetherWhat you think is important is actually surprising…Aug 28, 2024Aug 28, 2024
Published inAI n UHow to build a good AI model for your startup?I will discuss the overview of how to build a good Artificial Intelligence model. I won’t be getting into many details of the processes…Dec 14, 20201Dec 14, 20201
Percentiles, Quantiles and PlotsUnderstand the percentiles and quantiles, then the plots using these concepts.Apr 14, 20205Apr 14, 20205
Published inAI n Udo YOU know the ensemblequick and deep dive into ensembling techniquesApr 6, 20204Apr 6, 20204
Published inAI n UDeep, Deep Learning ConceptsDeep dive into face recognition and 1x1 convolution concepts. Also, I will discuss various optimization algorithms…Feb 7, 2020221Feb 7, 2020221
Published inAI n UConvolutional implementation of the sliding window algorithmIn this article, I will discuss how the sliding window algorithm can be understood using the convolutional algorithm. But before that, let…Jan 29, 20201172Jan 29, 20201172
Published inTDS ArchiveOther than GANsIn this blog post, I will discuss the alternative to using GANs more precisely. I would suggest the readers…Nov 22, 2019251Nov 22, 2019251
Published inTDS Archiverestoration gains with GANsIn this blog post, I will discuss the GANs and how it is used for restoring the images. I will use the fastai library for the practical…Nov 21, 2019106Nov 21, 2019106
Published inThe StartupResNets, DenseNets & UNetsIn this post, I will discuss the concepts of the above. So, let us get started.Nov 11, 2019245Nov 11, 2019245
Published inTDS ArchiveSteps to basic modern NN model from scratchThe blog will consist of the steps to create a primary neural network, starting from understanding matrix multiplication to building your…Nov 9, 201917Nov 9, 201917
Published inAI n UPre-trained language model in any languageIn this post, I will create a pre-trained language model in the Vietnamese language. But, I assure the users that they will be able to…Oct 29, 2019832Oct 29, 2019832
Published inTDS ArchiveFrom 94% to 95%I will share the various techniques theoretically, I used to improve my NLP sentiment analysis on the IMDB dataset from 94% to 95% approx.Oct 25, 201959Oct 25, 201959
Published inAI n URegularization Techniques — a list downHere I will discuss various regularization techniques used in the learning process.Oct 13, 201940Oct 13, 201940
Published inTDS ArchiveCNN & ResNets — a more liberal understandingI will try explaining what happens behind the convolutional networks, how they work. I will use the fastai and PyTorch library. I will…Oct 10, 201939Oct 10, 201939
Published inAnalytics VidhyaRecommendation system using fastaiA detailed guide to collaborative filtering and its implementation using the fast.ai library in PythonOct 8, 201980Oct 8, 201980
Published inAnalytics VidhyaNaive Bayes and Logistic Regression for NLPIn this blog post, I will cover Traditional machine learning terms and NLP techniques using one of the datasets.Oct 2, 201975Oct 2, 201975
Published inAnalytics VidhyaNeural networks for Tabular DataThis is a quick and complete post on how neural networks fits in tabular data. I am using fastai library to implement it. Let’s start.Sep 25, 201949Sep 25, 201949
Published inAnalytics VidhyaTransfer learning and NLP — unforeseen amalgamationIn this post, we will see how deep learning is used for solving traditional NLP problems very fast and with ease.Sep 24, 20192061Sep 24, 20192061
Published inAnalytics VidhyaImage Segmentation using fastaiIn this blog post, we will learn about segmentation and how to achieve it using fastai. Gear up and let’s get started.Sep 24, 20191891Sep 24, 20191891
Published inAnalytics VidhyaMulti-label classification using fastai — a shallow dive into fastai data-block APIThis is a short blog post on multi-label classification. If you want the dynamics behind the classification, I would suggest you go…Sep 22, 2019120Sep 22, 2019120
