Augmented reality (AR) is an enhanced version of the real physical world that is achieved through the use of digital visual elements, sound, or other sensory stimuli delivered via technology (Hayes 2021). Augmented Reality technology has seen unprecedented growth in 2021 (Makarov 2021). The market for AR technology is worth 15.3 billion US dollars. Due to greater app support, … [Read more...] about AUGMENTED REALITY AND MARKETING
Before proceeding with the indicator’s code, we have to code two simple functions:def deleter(Data, index, times):for i in range(1, times + 1):Data = np.delete(Data, index, axis = 1)return Datadef jump(Data, jump):Data = Data[jump:, ]return DataNow, we are ready for the code. Remember to have an OHLC array ready. You can see how to import an OHLC automatically in a previous … [Read more...] about The Fibonacci RSI. An Interesting Combination in Trading.
In this particular post, we will learn how to develop an image classifier predictive model using the teachable machine google project. This google project helps anyone to develop a machine learning model without ML expertise. Web and mobile apps can use these generated models.We will use a flower data-set to develop an image classification.Access the flower data-set in the … [Read more...] about How to create an image classifier predictive model without a single line of code?
Classifying Indian currency notes using their images and deep learning.Photo by Alexander Barton for NJI Media on DribbbleCurrency notes have identifiers that allow the visually impaired to identify them easily. This is a learned skill.On the other hand, classifying them using images is an easier solution to help the visually impaired identify the currency they are dealing … [Read more...] about Indian Currency Notes Classifier — on cAInvas
Using the Effective Number of Samples for Each Class to Re-Balance the Loss, Outperforms Focal Loss in RetinaNetIn this paper, Class-Balanced Loss Based on Effective Number of Samples, (CB Loss), by Cornell University, Cornell Tech, Google Brain, and Alphabet Inc., is reviewed. In this paper:A re-weighting scheme is designed that uses the effective number of samples for each … [Read more...] about Review — CB Loss: Class-Balanced Loss Based on Effective Number of Samples (Image Classification)
IntroductionThe term ‘Artificial Intelligence’ or ‘Data Science’ has always been a representation for a new change in the tech industry. Over the years, with improvements on various different aspects on technology growth, things have taken a turn with the ‘AI hype’ that has caused curiosity in making career choices, product development and increase in start-ups. From various … [Read more...] about MY DATA SCIENCE VOYAG : FROM A NOOB TO CREATING AN AI BASED HEALTHCARE APPLICATION
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Get startedOpen in appWilsonwattAboutFollowSign inGet startedFollowAboutGet startedOpen in appWilsonwattJust now·4 min readWilsonwattFollowTechnologyScienceProgrammingPsychologyArtificial IntelligenceFollowMore From MediumVlad Alex (Merzmensch) in MerzazineLouis Chan in Towards AIAdam Hrankowski in MathAdamFrank Andrade in Towards Data ScienceNick Wolny in Entrepreneur's … [Read more...] about Online satış için yüksek kaliteli silah satın al Online glock tabanca satın al
Too-small Initialisation — Vanishing GradientWhy does it happen: Initialised weights of a neural network are too smallResult: Premature convergenceSymptoms: Model performance improves very slowly during training. The training process is also likely to stop very early.If the initial weights of a neuron are too small relative to the inputs, the gradient of the hidden layers will … [Read more...] about 3 Common Problems with Neural Network Initialisation
This Month In Tech, Innovation & Cloud Migration in Retail, Home Runs & Slam Dunks: Analytics in Sports…If you’re new to this publication, this blog is YOUR Data, AI & Analytics Weekly Digest. We review the most popular data stories of the week & filter for you what’s HOT and what’s NOT.Don’t Have Time to Read? WATCH the Weekly Vlog here.Don’t Have Time to … [Read more...] about The“Money Tree” & Data Sharing 2.0…