Deep Tech
Reporting, analysis and features from AIM's Deep Tech section.
Beginners Guide to Image Compression using K-Means Clustering
Himanshu Sharma ·
My first Web Scraping project - Analyzing Flipkart Product Reviews using Text Mining
My first Web Scraping project - Analyzing Flipkart Product Reviews using Text Mining - Scrape and Analyze customer reviews
Prudhvi varma ·
Hands-On Guide To Use Argmax() Function In Python
Throughout this article, we will discuss the importance of the ‘argmax()’ function and demonstrate its implementation through examples.
Prudhvi varma ·
Implementing Encryption and Decryption of Data in Python
Securing Data by Implementing Encryption and Decryption of Data in Python
Himanshu Sharma ·
Understanding Capsule Networks with Its Implementation in Computer Vision
This article illustrates the problems with standard neural net and implementation of Capsule Network to overcome the problems. We will first go through the need for such a network and then will implement the CapsNet model in the task of im…
Rohit Dwivedi ·
Meet The MachineHack Champions Who Cracked The ‘Forest Cover Classification’ Hackathon
Amal Nair ·
Hands-On Guide To Implement Batch Normalization in Deep Learning Models
Through this article, we will discuss how the batch normalization helps in building an efficient model. Batch normalization is a feature that we add between the layers of the neural network and it continuously takes the output from the pre…
Prudhvi varma ·
My experiment with UNet - building an image segmentation model
This article will demonstrate how we can build an image segmentation model using U-Net that will predict the mask of an object present in an image. The model will localize the object in the image using this method.
Rohit Dwivedi ·
My first CNN project - Emotion Detection Using Convolutional Neural Network With TPU
Rohit Dwivedi ·
Power Plant Energy Output Prediction: Weekend Hackathon #13
Anurag Upadhyaya ·
11 Talks To Look Forward To At CVDC 2020
Srishti Deoras ·
A Beginners Guide To Seaborn, Python’s Visualization Library
Through this article, we will discuss How to use Seaborn Visualizing different statistical charts, Various plotting functions in Seaborn, Different parameters for seaborn visualization.
Himanshu Sharma ·
Building your own Object Recognition in Pytorch - A Guide to Implement HarDNet in PyTorch
Through this article, we will demonstrate the implementation of HarDNet - a deep learning framework - using pre-trained weights which are already trained on ImageNet dataset.
Prudhvi varma ·
Tips for Automating EDA using Pandas Profiling, Sweetviz and Autoviz in Python
This article explores EDA Automation using Pandas Profiling, Sweetviz and Autoviz in the task of Creating Detailed EDA Reports, Creating reports for comparing 2 Datasets, and Visualizing the dataset.
Himanshu Sharma ·
Hands-On Guide To Using YFinance API In Python
In this article, we will explore YFinance and learn what we can do. The stock we will be working on here is Pfizer, a Pharmaceutical Company listed in NASDAQ. YFinance is highly recommended for Financial Reporting as it provides you with e…
Himanshu Sharma ·
Behind DeepMind’s Framework That Discovers New Reinforcement Learning Algorithms
Ambika Choudhury ·
My First Kaggle problem with CNN Model - To Count Fingers And Distinguish Between Left And Right Hand?
How To Implement CNN Model To Count Fingers And Distinguish Between Left And Right Hand?
Rohit Dwivedi ·
Meet The MachineHack Champions Who Cracked The ‘Computer Vision Classic ’ Hackathon
Amal Nair ·
Comparing Python Libraries: Pylearn2 vs. scikit-learn
Ambika Choudhury ·
Machines That Don’t Kill: How Reinforcement Learning Can Solve Moral Uncertainties
Ram Sagar ·