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The Greatest Showman – A Magnificent Musical

This movie changed my views on musicals. I always though musicals never had much of a story and their only selling point was the dancing and the music. When I watch a movie, I watch it more for the plot, the story and not music or dancing, though there presence in small amounts does give … Continue reading The Greatest Showman – A Magnificent Musical

Paper Explanation – Deep Residual Learning for Image Recognition (ResNet)

This paper is the outcome when Microsoft finally released the beast! The ResNet "slayed" everything, and won not one, not two, but five competitions; ILSVRC 2015 Image Classification, Detection and Localization, and COCO 2015 detection and segmentation. Problems the Paper Addressed The paper analysed what was causing the accuracy of deeper networks to drop as … Continue reading Paper Explanation – Deep Residual Learning for Image Recognition (ResNet)

Lovely★Complex – Nothing is Greater than Love

I recently finished watching Lovely Complex and somehow survived even after consuming so much sweetness! This is probably one of the best examples of Old is Gold (even though it's only 10 years old). The story follows the loves lives of a short below average boy, Ootani Atsushi, and a tall above average girl, Koizumi … Continue reading Lovely★Complex – Nothing is Greater than Love

Paper Explanation: Going Deeper with Convolutions (GoogLeNet)

This is the only paper I know of that references a meme! Not only this but this model also became the state of the art for classification and detection in the ImageNet Large-Scale Visual Recognition Challenge 2014 (ILSVRC14). Problems the Paper Addressed To create a deep network with high accuracy while keeping computation low. Google … Continue reading Paper Explanation: Going Deeper with Convolutions (GoogLeNet)

Paper Explanation: Very Deep Covolutional Networks for Large-Scale Image Recognition (VGGNet)

This is probably the most simple looking and straightforward network ever. Simple yet powerful; wining the ImageNet 2014 Localisation competition and coming second in the Classification track! Problems the Paper Addressed To show that making a network deeper improves its accuracy and also multiple small filters are better than a single large filter when both … Continue reading Paper Explanation: Very Deep Covolutional Networks for Large-Scale Image Recognition (VGGNet)

Paper Explanation : ImageNet Classification with Deep Convolutional Neural Networks (AlexNet)

AlexNet famously won the 2012 ImageNet LSVRC-2012 competition by a large margin (15.3% VS 26.2% (second place) top-5 test error rates). This started the era of deep learning, bringing neural networks back into the spotlight! Problems the paper addressed To show that it is possible to successfully train a deep CNN with a large number … Continue reading Paper Explanation : ImageNet Classification with Deep Convolutional Neural Networks (AlexNet)

Dunkirk – A Disaster Yet a Victory

Sometimes by losing a battle you find a new way to win the war. Finally watched Dunkirk after stalling and postponing for a long time. Why? I have no idea. Probably wasn't able to get into the mood for a war movie based on true events. Have to say I am so glad I watched … Continue reading Dunkirk – A Disaster Yet a Victory