Character-Recognition-with-CNN-network
IntroductionThis post talks about a simple Convolution Neural Network (CNN) which is used torecognize characters i.e. Numeric and Alphabet. We have total 10 Numeric and 26Alphabets that sums up the to
Tag: Machine Learning
Efficient-Residual-Factorized-Neural-Network-for-Semantic-Segmentation
This post explains a research paper ERFNET, a real time and accurate ConvNet for semantic segmentation and the underlying concepts. Semantic SegmentationSemantic segmentation is the task of classi
Tracking Deep Learning experiments using Keras,MlFlow and MongoDB
It is late 2019 and Deep Learning is not a buzzword anymore. It is significantly used in the technology industry to attain feats of wonders which traditional machine learning and logic based techniqu
