Transformer for All Data TypesIn 2017 Google published one of the most cited paper called «Attention is all you need». And a new network architecture for NLP task was…May 22, 2022May 22, 2022
Deep Neural Networks for Tabular DataSpoiler: TabNet and TabTransformer will be here…Jan 25, 2021Jan 25, 2021
ROI pooling vs. ROI alignIn computer vision there are many interesting problems and one of them is object detection and segmentation on image.Jan 8, 2020Jan 8, 2020
Published inAnalytics VidhyaTensorFlow 2.0: tf.data APIIf you remember the time when only Queues were available in TensorFlow 1.x as the data structure for ETL pipeline (Extract / Transform /…Dec 18, 2019Dec 18, 2019
Tensorflow: how to train two networks independentlyIn previous post I wrote about training Several GANs where I faced with difficulties toward to Tensorflow: I couldn’t implement training…May 8, 2019May 8, 2019
Weakly Supervised Object LocalizationIn practice dealing with some business cases using deep learning we work with datasets that have only image labels and no any information…Oct 3, 20181Oct 3, 20181
Optimizers for Training Neural NetworksTraining network is iterative process where we want to minimize Loss function:Jul 28, 2018Jul 28, 2018
Vantage Point Tree: does careful selection of vantage point make sense?Vantage Point Tree is very old algorithm for making fast search within tree. Off course nowadays we have so many tools for working with big…Mar 25, 2018Mar 25, 2018
Override TensorFlow Backward-PropagationTensorflow is a great tool that works with deep learning. There are a lot of operations that you easily can implement and make good model…Feb 5, 20184Feb 5, 20184
