Author: Muhammad Rizwan

Keras Application for Pre-trained Model 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 Keras but we didn’t train them because training such deep neural networks to require high computation cost and time. But

LeNet-5 - A Classic CNN Architecture 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 LeNet-5. The architecture is straightforward and simple to understand that’s why it is mostly used as a first step for teaching

Why Use Framework for Deep Learning? 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 start implementing more complex models such as Convolutional Neural Network (CNN) or Recurring Neural Network (RNN) then you will

K Means Clustering Algorithm & its Application 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. K-means clustering is an unsupervised machine learning algorithm for clustering ‘n’ observations into ‘k’ clusters where k is

Convolutional Neural Network  (CNN) From Scratch 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 the neurons in the previous and the following layers. This arrangement is called a fully connected layer and the

First Step to Become Data Scientist Do you want to become a ‘Data Scientist’? If yes, then the first step is to understand the basic terms and their usage. A – Brief History Data Science is not a new field as the statisticians were doing the job even before the computer