Introduction: Alex Krizhevsky, Geoffrey Hinton and Ilya Sutskever created a neural network architecture called ‘AlexNet’ and won Image Classification Challenge (ILSVRC) in 2012. They trained… Read More »AlexNet Implementation Using Keras
Yann LeCun, Leon Bottou, Yosuha Bengio and Patrick Haffner proposed a neural network architecture for handwritten and machine-printed character recognition in 1990’s which they called… Read More »LeNet-5 - A Classic CNN Architecture
What is K Means Clustering? Clustering means grouping things which are similar or have features in common and so is the purpose of k-means clustering.… Read More »K Means Clustering Algorithm & its Application
Introduction In a regular neural network, the input is transformed through a series of hidden layers having multiple neurons. Each neuron is connected to all… Read More »Convolutional Neural Network (CNN) From Scratch
Face Landmark Estimation Application After detecting a face in an image, as seen in the earlier post ‘Face Detection Application’, we will perform face landmark… Read More »Face Landmark Estimation Application
Do you want to become a ‘Data Scientist’? If yes, then the first step is to understand the basic terms and their usage. A –… Read More »First Step to Become Data Scientist
Why Use Framework for Deep Learning? You can implement your own deep learning algorithms from scratch using Python or any other programming language. When you… Read More »Why Use Framework for Deep Learning?
In earlier posts, we learned about classic convolutional neural network (CNN) architectures (LeNet-5, AlexNet, VGG16, and ResNets). We created all the models from scratch using… Read More »Keras Application for Pre-trained Model
