Pinned Repositories
Face-Recognition-From-Scratch
Implementing a Face Recognition CV Model using Online Triplet Mining on IMFDB Dataset
gpstracker
logDB
Creating a log based database as an experiment
MNIST-Challenge
The objective was to implement a model with less than 10k parameters on MNIST data and get an accuracy of more than 99% in 10 epochs.
NLP_Sentiment_Classification_IMDB_Reviews
Performing Sentiment Classification on IMDB Reviews using Deep Learning.
pyspark
Scraping
Web Scrapting
stockmarketanalysis
Using the power of Big Data Tools to analyze Stock Market
Tensorflow-RNN-Tutorials
Tutorial on English to Hindi Transliteration using Seq2Seq Architecture in Tensorflow
VGG16---CIFAR10
To implement VGG16 in any Deep Learning framework and to edit the architecture to include Dropout layers, Batch Normalization other and small tweaks to perform image classification on CIFAR10 dataset.
aknakshay's Repositories
aknakshay/stockmarketanalysis
Using the power of Big Data Tools to analyze Stock Market
aknakshay/pyspark
aknakshay/VGG16---CIFAR10
To implement VGG16 in any Deep Learning framework and to edit the architecture to include Dropout layers, Batch Normalization other and small tweaks to perform image classification on CIFAR10 dataset.
aknakshay/Face-Recognition-From-Scratch
Implementing a Face Recognition CV Model using Online Triplet Mining on IMFDB Dataset
aknakshay/gpstracker
aknakshay/logDB
Creating a log based database as an experiment
aknakshay/MNIST-Challenge
The objective was to implement a model with less than 10k parameters on MNIST data and get an accuracy of more than 99% in 10 epochs.
aknakshay/NLP_Sentiment_Classification_IMDB_Reviews
Performing Sentiment Classification on IMDB Reviews using Deep Learning.
aknakshay/Scraping
Web Scrapting
aknakshay/Tensorflow-RNN-Tutorials
Tutorial on English to Hindi Transliteration using Seq2Seq Architecture in Tensorflow
aknakshay/VideoAnalytics
Finding emotions and sentiments of a speaker from a recorded video