deep learning

Getting Familiar with Activation Function and Its Types.

Reading Time: 7 minutes Hey Folks, In this blog we are going to discuss activation function in Artificial Neural Networks and their different types. Before going there, let’s get some idea about what is an artificial neural network? Artificial Neural Network(i.e., ANN) Artificial Neural Network refers to a biologically inspired sub-field of Artificial Intelligence modeled after the brain. ANN is a computational network based on a biological neural network Continue Reading

COVID-19 Detector: Detecting Corona from X-Ray

Reading Time: 4 minutes A web application using deep learning to help medical practitioners to detect COVID-19 symptoms with chest x-rays. COVID-19 disease, caused by the SARS-CoV-2 virus, was identified in December 2019 in China and declared a global pandemic by the WHO(World Health Organization) on 11 March 2020. The disease first originated in Wuhan, China and since then it has spread globally across the world affecting more than 200 countries. Coronavirus disease 2019 (COVID-19) Continue Reading

Boosting medical diagnosis with Klickare

Reading Time: 4 minutes In this blog, we are going to see how KlicKare can boost up medical diagnosis by using deep learning. Medical diagnostics are a category of medical tests designed to detect infections, conditions, and diseases. These medical diagnostics fall under the category of in-vitro medical diagnostics (IVD) which be purchased by consumers or used in laboratory settings. Biological samples are isolated from the human body such Continue Reading

MachineX: Alphabets of PyTorch (Part 1)

Reading Time: 6 minutes Overview In this blog, you’ll get an introduction to deep learning using the PyTorch framework, we will see some basics of PyTorch. Introduction to PyTorch PyTorch is a Python machine learning package based on Torch, which is an open-source machine learning package based on the programming language Lua. Two main features: Tensor computation (like NumPy) with strong GPU acceleration Automatic differentiation for building and training Continue Reading

TensorFlow with Keras part 2 using Case Study

Reading Time: 2 minutes This blog is in continuation to Part1, Tensorflow for deep learning. Make sure you go through it for a better understanding of this case study. Keras is a high-level neural networks API, written in Python and capable of running on top of Tensorflow, CNTK  or Theano. It was developed with a focus on enabling fast experimentation. In this blog, we are going to cover one Continue Reading

TensorFlow for deep learning Part 1

Reading Time: 3 minutes TensorFlow is a free and Open-Source Software library for dataflow and differentiable programming across a range of tasks. It is a symbolic math library and is also used for machine learning applications such as neural networks. It is used for both research and production at Google. TensorFlow was developed by the Google Brain team for internal Google use. Deep learning is a particular kind of Continue Reading

What is Deep Learning??

Reading Time: 4 minutes This term “Deep Learning”, is on fire for past two decades. Every machine learning enthusiast wants to work on it and many big companies are already making an impact on Data Science field by exploring it e.g. Google Brain project from Google or DeepFace from Facebook. The reason is simple, experts say and I quote “for most flavors of the old generations of learning algorithms … performance will Continue Reading

Artificial Intelligence vs Machine Learning vs Deep Learning

Reading Time: 3 minutes The world as we know it is moving towards machines big time. But we can not fully utilize the working of any machine without a lot of human interaction. So in order to do that, we needed some kind of intelligence for the machines. Here comes the place for Artificial Intelligence. It is the concept of machines being smart to carry out numerous tasks without Continue Reading

Getting started with TensorFlow: A Brief Introduction

Reading Time: 3 minutes TensorFlow is an open source software library, provided by Google, mainly for deep learning, machine learning and numerical computation using data flow graphs. Looking at their website, the first definition they have written for TensorFlow goes something like this – TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges Continue Reading