Deep Tech
Reporting, analysis and features from AIM's Deep Tech section.
Keras vs PyTorch vs Caffe - Comparing the Implementation of CNN
In this article, we will build the same deep learning framework that will be a convolutional neural network for image classification on the same dataset in Keras, PyTorch and Caffe and we will compare the implementation in all these ways.…
Prudhvi varma ·
New Hackathon For Data Scientists - GitHub Bugs Prediction Challenge
Sejuti Das ·
What Is Deep Active Learning: Challenges and Applications
Ram Sagar ·
How I used Bidirectional Encoder Representations from Transformers (BERT) to Analyze Twitter Data
In this article, we will talk about the working of BERT along with the different methodologies involved and will implement twitter sentiment analysis using the BERT model.
Bhoomika Madhukar ·
Demonstration Of What-If Tool For Machine Learning Model Investigation
In this article we will learn about: What is the What-If tool? What are the features of this tool? Walkthrough with a sample dataset.
Bhoomika Madhukar ·
How Does The Data Size Impact Model Accuracy?
Through this article, we will experiment with a classification model by having datasets of different sizes. We will build a model with less no of data samples and then more no of data samples and then check their accuracy scores.
Rohit Dwivedi ·
Why Cisco Wants To Acquire BabbleLabs
Vishal Chawla ·
Register for this Webinar on “Data Engineering : Careers and Skills”
Srishti Deoras ·
Step By Step Guide To Stabilize Facial Landmarks In A Video Using Dlib
Bhoomika Madhukar ·
AutoScraper Tutorial - A Python Tool For Automating Web Scraping
Autoscraper is a smart, automatic. Fast and lightweight web scraper for python. It makes web scraping an easy task. It gets a URL or the HTML content of a web page and a list of sample data that we want to scrape from that page.
Himanshu Sharma ·
Hands-on Guide to Bayesian Neural Network in Classification
Consider an example where you are trying to classify a car and a bike. If an image of a truck is shown to the network, it ideally should not predict anything. But, because of the softmax function, it assigns a high probability to one of th…
Bhoomika Madhukar ·
Tutorial For DataPrep - A Python Library to Prepare Your Data Before Training
In this article, we will explore what all we can do using DataPrep with using its features.
Himanshu Sharma ·
What Is The Difference Between A Data Warehouse And A Data Center?
Vishal Chawla ·
Hands-On Guide to Implement Deep Autoencoder in PyTorch for Image Reconstruction
In this article, we will demonstrate the implementation of a Deep Autoencoder in PyTorch for reconstructing images. This deep learning model will be trained on the MNIST handwritten digits and it will reconstruct the digit images after lea…
Dr. Vaibhav Kumar ·
Rethinking Domain Adaptation In Machine Learning For A Varying World
Ram Sagar ·
Meet The MachineHack Champions Who Cracked The ‘Video Game Sales Prediction’ Hackathon
Amal Nair ·
How Can You Build Your Own Homemade Infrared Thermometer With Arduino
Dr. Raul V. Rodriguez ·
ML Tools Used By The Kaggle Experts
Ram Sagar ·
Rise of Robots and AI in the Coronavirus Era
Nitin.Srivastava ·
Top 10 Speakers At Plugin 2020
Sejuti Das ·