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06  décembre     10h39
Non-Negative Matrix Factorization for Text Classification and Recommendation
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...
31  mars     12h38
Deep Generative Art Monet Style Transfer with GANs (CycleGAN)
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....
    11h13
Disaster Tweets Classification with RNN GRU BiLSTM BERT USE
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...
26  mars     11h35
Histopathologic Cancer Detection with CNN VGG16 VGG19 ResNet50
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...
17  janvier     15h19
Custom Object Detection with transfer learning with pre-trained YOLO-V4 model
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 . , ...
04  décembre     19h08
Implementing a few algorithms with python from scratch
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,...
31  août     21h40
Probabilistic Deep Learning with Tensorflow
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...
14  août     10h43
Machine learning with H2O in R Python
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 ...
30  avril     22h59
Neural Translation Machine Translation with Neural Nets (BiLSTM) with Keras Python
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...
08  janvier     19h29
NLP with Bangla: semantic similarity with word2vec, Deep learning (RNN) to generate Bangla song-like texts and to do sentiment analysis on astrological prediction dataset, creating a simple Bangla ChatBot using RASA NLU with Python
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...