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Friday, December 6, 2019

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Author: Muhammad Rizwan

General 

Keras Application for Pre-trained Model

November 2, 2018November 4, 2018 Muhammad Rizwan 16 Views

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

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LeNet-5 - A Classic CNN Architecture

October 17, 2018October 18, 2018 Muhammad Rizwan 52 Views

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

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Why Use Framework for Deep Learning?

October 4, 2018October 4, 2018 Muhammad Rizwan 20 Views

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

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K Means Clustering Algorithm & its Application

September 27, 2018September 27, 2018 Muhammad Rizwan 20 Views

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

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Convolutional Neural Network  (CNN) From Scratch

September 25, 2018September 25, 2018 Muhammad Rizwan 50 Views

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

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First Step to Become Data Scientist

August 20, 2018August 23, 2018 Muhammad Rizwan 20 Views

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

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News and Views

  • How HubSpot Uses Influencer Marketing to Build Authentic Relationships and Reach New Audiences December 6, 2019
  • Metadata.io Secures Third Patent for Groundbreaking AI-Powered Marketing Operations Platform December 6, 2019
  • Engagio Adds to Caliber of Executive Team; Welcomes Megan Heuer as VP of Marketing December 6, 2019
  • TripAdvisor Acquires SinglePlatform From Endurance International Group To Grow Its Digital Marketing Suite For Restaurants December 6, 2019
  • Where Are NFPs Going Wrong with Their Advertising? December 6, 2019
  • Neustar Adds Industry Experts to Marketing Solutions Business Unit December 5, 2019
  • Miaozhen Systems Maps China’s Complex Digital Marketing Ecosystem December 5, 2019
  • Rx Marketing Group Announces New Chief Executive Officer December 5, 2019
  • John Shea Named Global President, Marketing And Events, Octagon Worldwide December 5, 2019
  • 3 Ways Technology Can Improve Creative Briefs and Project Intake to Drive Greater Efficiency in Marketing December 4, 2019
  • Why Intrusion-Lite Advertising is the Future of Digital Ads December 3, 2019
  • PushSend.com Launches Event Ticketing to Boost its All-In-One Marketing Platform December 3, 2019
  • Self Esteem Brands Appoints SOCi as New Global Platform of Record for Localized Social Marketing December 3, 2019
  • 5 Things You Need to Know from IIeX Behaviour UK 2019 December 3, 2019
  • Marketo Engage Users Can Now Automate Sales Development with Exceed.ai Integration December 3, 2019
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