Train2TestinThe StartupPrice Tag Detector: Multi-Digit Classification using TensorFlow Object Detection and SVHN…Making Retail Execution Smart using Machine LearningJun 23, 20201Jun 23, 20201
Train2TestinThe StartupVoila! Getting rid of Tesseract Failure Cases!Anyone who ever wanted to perform Optical Character Recognition (OCR) must have heard about Tesseract. Why? Well, cause, one, it was…Jun 13, 2020Jun 13, 2020
Train2TestinThe StartupStock Price Prediction: XGBoostIn our latest entry under the Stock Price Prediction Series, let’s learn how to predict Stock Prices with the help of XGBoost Model.Jun 1, 20202Jun 1, 20202
Train2TestinArtificial Intelligence in Plain EnglishHow to Train Custom Object Detector using TensorFlow Object Detection APITrying to deploy a custom object detector that detects, say, price tags? Or a similar object for which finding an extensive dataset is a…Jun 1, 2020Jun 1, 2020
Train2TestinAnalytics VidhyaStock Price Prediction: Single Neural Network with TensorflowLet’s learn how to predict stock prices using a single layer neural network with the help of TensorFlow Backend. You’ll be in awe when you…May 17, 2020May 17, 2020
Train2TestinAnalytics VidhyaStatistical Approach to Stock Price Prediction: Naive Forecast, Moving AverageLet’s employ some basic statistical methods to predict stick prices. We will first learn what these methods mean followed by quick code…May 10, 2020May 10, 2020
Train2TestinAnalytics VidhyaStock Price Prediction: Facebook ProphetPredicting stock prices is a difficult task. Several factors can affect the price of the stock which is not always easy to accommodate in…May 3, 2020May 3, 2020
Train2TestinThe StartupComparative Analysis of CIFAR-10 Image Classification: Transfer Learning vs User-Defined CNNsCIFAR-10 is one of the benchmark datasets for the task of image classification. It is a subset of the 80 million tiny images dataset and…Apr 24, 2020Apr 24, 2020
Train2TestinAnalytics VidhyaExploring Fashion MNIST with Tensorflow CNNImage Classification is one of the most trivial yet challenging problems under Computer Vision. To get a better understanding, we have…Apr 18, 2020Apr 18, 2020
