Sandipan Dey    In this blog, we shall discuss on how matrix factorization based unsupervised machine learning techniques can be applied to solve problems such as text classification BBC news docs and movie recommendation MovieLens ratings predictions . The problems appeared in the coursera course Unsupervised...

Sandipan Dey    This problem appeared as a project in the coursera course Deep Learning by the University of Colorado Boulder and also appeared in a Kaggle Competition. Brief description of the problem and data In this project, the goal is to build a GAN that generates, to , Monet style images....

Sandipan Dey    This problem appeared in a project in the coursera course Deep Learning by the University of Colorado Boulder and also as a past Kaggle competition. Brief description of the problem and data In this project, we shall build a machine learning model that predicts which Tweets are about real...

Sandipan Dey    This problem appeared in a project in the coursera course Introduction to Deep Learning by the university of Colorado Coulder and is taken from a past Kaggle competition. Brief description of the problem and data In this mini project, we shall use binary classification to classify an image into...

Sandipan Dey    In this blog we shall demonstrate how to start with a pre trained Yolo You only look once V end to end one stage object detection model trained on MS COCO dataset and train it to detect a custom object Raccoon . Dataset Description Exploration x , y à . ’ à . , ...

Sandipan Dey    In this blog, we shall focus on implementing a few famous algorithms with python the algorithms will be from various topics from computer science, such as graph theory, compiler construction, theory of computation, numerical analysis, data structures, digital logic, networking, operating systems,...

Sandipan Dey    In this blog, we shall discuss on how to implement probabilistic deep learning models using Tensorflow. The problems to be discussed in this blog appeared in the exercises projects in the coursera course Probabilistic Deep Learning , by Imperial College, London, as a part of TensorFlow for...

Sandipan Dey    In this blog, we shall discuss about how to use H O to build a few supervised Machine learning models. H O is a Java based software for data modeling and general computing, with the primary purpose of it being a distributed, parallel, in memory processing engine. It needs to be installed first ...

Sandipan Dey    In this blog, we shall discuss about how to build a neural network to translate from English to German. This problem appeared as the Capstone project for the coursera course Tensorflow : Customising your model , a part of the specialization Tensorflow for Deep Learning , by the Imperial College...

Sandipan Dey    In this blog, we shall discuss on a few NLP techniques with Bangla language. We shall start with a demonstration on how to train a word vec model with Bangla wiki corpus with tensorflow and how to visualize the semantic similarity between words using t SNE. Next, we shall demonstrate how to train a...