Authors: Venkatakrishna Panga, Bhavna Saxena, Debiprasad Banerjee, and Manish Sinha

Abstract: Websites and apps like Match, Tinder, LinkedIn, Care.com, etc., use profile pictures to introduce a person to their users. They say a ‘picture is worth a thousand words’, and it couldn’t be truer for these websites and apps. Profile pictures from the first and often, a lasting impression of the user. A professionally clicked profile picture conveys sincerity, tardiness, and creates an emotional connection with the users. …

Q: Can we use AWS services without a subscription, without paying for services, and complete offline mode?
Ans: Yes, We can do this by using localstack. We can use almost all AWS services without payment and complete offline mode, this sounds crazy, right? Let’s get into the details to know how to set up and use services.

Keywords: Localstack, AWS, SNS, SQS, Lambda, AWS CLI, Free AWS services

Introduction: After development completed, We deploy applications in AWS or any other cloud services like Azure, GCP, Alibaba, etc. We usually take the subscription and use the required services till the free…

I.Introduction: One of the difficult jobs in the data science domain is to install GPU drivers, AI libraries, and env setup. This is the first step in the process, without the successful setup, we can’t move forward. Need to have patience, and troubleshoot all kinds of errors to complete a successful setup. Assume, setting things in a single system takes this much time, and patience then just imagine how difficult to set up the same in multiple systems. In our companies, we might have seen software updates, and security patches updates are done through an automated way using ansible or…

In this blog, we will understand the concept of RNN networks, different types of networks available and its practical implementation. We also see the performance comparison between RNN and ANN networks.

RNN Network: The idea behind RNNs is to make use of sequential information. In a traditional neural network, we assume that all inputs (and outputs) are independent of each other. But for many tasks that are a very bad idea. If you want to predict the next word in a sentence you better know which words came before it. …

Computer vision is one of the interesting and exiting domain in Deep learning space. In this blog we will explore the following computer vision techniques for object detection.

  1. R-CNN
  2. Fast R-CNN
  3. Faster R-CNN
  4. YOLO

Before get started Let’s understand, What is the object detection ? How it is different from classification ??

Object detection: It is the process of finding single/multiple objects in the image and also writing bounding boxes on top of the objects. Here important thing is , Output should be same as input image with object detections and certain level of precision. …

Venkatakrishna Reddy

I am a Data Scientist. Interested in learning, exploring, and sharing knowledge.

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