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Umer Farooq
Umer Farooq

667 Followers

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Feb 6

Image Classification using AlexNet

What is AlexNet The ImageNet ILSVRC-2012 competition’s winner, AlexNet, was created by Alex Krizhevsky, Ilya Sutskever, and Geoffery E. Hinton. AlexNet used the ReLu activation function, a crucial advancement in deep learning, and included eight layers. …

Cnn

2 min read

Image Classification using AlexNet
Image Classification using AlexNet
Cnn

2 min read


Jan 30, 2020

Checklist for Any Regression Problem

Checklist for Solving Any Regression Problem Data Fetching Understanding the Data Checking the Skwewness of the Output Variable Performing Log Transformation (if required) Exploratory Data Analysis Analysing Correlation Finding out Important Predictors Feature Engineering: - i) Missing Values ii) Outliers iii) Categorical Feature Encoding Creating Folds and Defining Fold Map …

Machine Learning

1 min read

Machine Learning

1 min read


Dec 31, 2019

Awful AI

Awful AI is a curated list to track current scary usages of AI — hoping to raise awareness to its misuses in society Artificial intelligence in its current state is unfair, easily susceptible to attacks and notoriously difficult to control. Nevertheless, more and more concerning the uses of AI technology…

Artificial Intelligence

8 min read

Awful AI
Awful AI
Artificial Intelligence

8 min read


Mar 28, 2019

Text Summarization with Python

The is the Simple guide to understand Text Summarization problem with Python Implementation. Table of content Motivation Why text summarization is important? What is Summarization? Extractive Method Abstractive Method Text Summarization using Python Further Reading Motivation To take the appropriate action, we need the latest information. …

Machine Learning

7 min read

Text Summarization in Python
Text Summarization in Python
Machine Learning

7 min read


Jan 22, 2019

Python for Pdf

Table of content Introduction Why Python for PDF processing Common Python Libraries Extracting Text from pdf Reading the Table data from pdf Export Pdf into Excel Further Reading Introduction Being a high-level, interpreted language with a relatively easy syntax, Python is perfect even for those who don’t have prior programming experience…

Python

3 min read

Python for Pdf
Python for Pdf
Python

3 min read


Sep 27, 2018

Model summary in PyTorch

Keras style model.summary() in PyTorch model.summary in keras gives a very fine visualization of your model and it's very convenient when it comes to debugging the network. Here is a barebone code to try and mimic the same in PyTorch. …

Machine Learning

3 min read

Machine Learning

3 min read


Jun 14, 2018

Tools to run Python on Android

Python has proven itself as a highly capable language — approachable for newcomers, but powerful in the hands of experts. Why shouldn’t you be able to use Python everywhere that you need to tell a computer to do something? And shouldn’t your tools exploit all the capabilities of Python as…

Android App Development

6 min read

Tools to run Python on Android
Tools to run Python on Android
Android App Development

6 min read


Jun 9, 2018

Software Testing:concepts

Table of content Testing General Testing terms Testing Objective Testing Principle Fundamental Test Process Test Level,Types and Approaches Testing Software testing is a process of executing a program or application with the intent of finding the errors The process of verifying and validating that a software program or application or product: …

Software Development

6 min read

Software Testing:concepts
Software Testing:concepts
Software Development

6 min read


Mar 21, 2018

Neural Machine Translation with Code

Table of content Machine Translation Statistical Machine Translation Neural Machine Translation Encoder Decoder Attention Mechanism Training Complete Code for translating of German phrases to English in Keras Machine Translation? Machine translation is the task of automatically converting source text in one language to text in another language. In a machine translation task…

Machine Learning

8 min read

Neural Machine Translation with Code
Neural Machine Translation with Code
Machine Learning

8 min read


Feb 15, 2018

From R-CNN to Mask R-CNN

Region Based Convolution Neural Network The purpose of R-CNNs(Region Based Convolution Neural Network) is to solve the problem of object detection. Given a certain image, we want to be able to draw bounding boxes over all of the objects. …

Machine Learning

6 min read

From R-CNN to Mask R-CNN
From R-CNN to Mask R-CNN
Machine Learning

6 min read

Umer Farooq

Umer Farooq

667 Followers

Salesforce.com Certified || Data Engineer https://www.linkedin.com/in/umer7/

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