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Comparing ANN and CNN on CIFAR-10: A Comprehensive Analysis | by Ravjot Singh | Jul, 2024

Are you curious about how different neural networks stack up against each other? In this blog, we dive into an exciting comparison between Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) using the popular CIFAR-10 dataset. We’ll break down the key concepts, architectural differences, and real-world applications of ANNs and CNNs. Join us as…

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Unlock 20% Higher ROI: The Secret to Using AI for Game-Changing Email and Social Media Marketing | by Carlos Gil | Jul, 2024

In today’s fast-paced digital landscape, marketers are constantly searching for that edge to stand out. If you’re not leveraging AI in your email and social media marketing strategies, you might just be missing out on the secret sauce for success. At Inbox Expo 2024, I had the chance to dive deep into this topic, and…

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Exploring NLP Preprocessing Techniques: Stopwords, Bag of Words, and Word Cloud | by Ravjot Singh | Jun, 2024

Natural Language Processing (NLP) is a fascinating field that bridges the gap between human communication and machine understanding. One of the fundamental steps in NLP is text preprocessing, which transforms raw text data into a format that can be effectively analyzed and utilized by algorithms. In this blog, we’ll delve into three essential NLP preprocessing…

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Mastering Prompt Engineering: Leveraging the Power of Generative AI | by Niño Ross Rodriguez | Jul, 2024

Generative artificial intelligence (GenAI) is revolutionising the tech industry. Different platforms are now capable of generating output based on a few lines of text. Midjourney can create stunning images, Synthesia can produce dynamic visuals and scenes, and the popular ChatGPT can assist with coding. As GenAI grows and gains popularity at an exponential rate, should…

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Leveraging Design Patterns in MERN Stack vs. Data Engineering | by Aaditya Kumar | Jun, 2024

Design patterns are crucial in software development as they provide proven solutions to common problems. They help in creating code that is more scalable, maintainable, and efficient. This article explores the use of multiple design patterns in the context of MERN (MongoDB, Express.js, React, Node.js) stack development versus data engineering, highlighting the differences, challenges, and…

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Future AI backend processing : Leveraging Flask Python on Firebase Cloud Functions | by Surahutomo Aziz Pradana

Welcome, Firebase enthusiasts! Today, we’re venturing into the realm of serverless computing that can be integrated with AI using Python language to explore the wonders of cloud functions with Python, specifically with Firebase Cloud Functions. These functions offer a seamless way to execute code in response to various triggers, all without the hassle of managing…

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3 Important Considerations in DDPG Reinforcement Algorithm | by Manjeet Singh Nagi | Jun, 2024

Photo by Jeremy Bishop on UnsplashDeep Deterministic Policy Gradient (DDPG) is a Reinforcement learning algorithm for learning continuous actions. You can learn more about it in the video below on YouTube: https://youtu.be/4jh32CvwKYw?si=FPX38GVQ-yKESQKU Here are 3 important considerations you will have to work on while solving a problem with DDPG. Please note that this is not…

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