Understanding AI, Machine Learning, Deep Learning
Author(s): Gencay I. Originally published on Towards AI. Differences and Similarities of the AI, Machine Learning, and Deep Learning in the Data Science Field. Created in LeonardoAI. As a beginner Data Scientist, you might have come across buzzwords like Artificial Intelligence (AI), …
Gradient Checkpointing
Author(s): Harshit Sharma Originally published on Towards AI. To βscaleβ new heights in model training Gradient Checkpointing (aka Re-compute technique/activation checkpointing) is an approach that trades compute for memory and is helpful in scenarios where the available GPU memory is not enough …
This AI newsletter is all you need #53
Author(s): Towards AI Editorial Team Originally published on Towards AI. Our in-depth practical Generative AI course has reached thousands of sign-ups! We launched our practical Generative AI course last week and we are excited with the positive reception. Thousands of people have …
DEEP LEARNING REVOLUTION: Unveiling the Potential of CONVOLUTIONAL NEURAL NETWORKS (CNNs) in Brain Tumor Detection
Author(s): Data Science meets Cyber Security Originally published on Towards AI. βFrom Basics to Advanced Techniques: A Comprehensive Guide and Case Study in Medical Image Analysisβ SOURCE: https://gencraft.com/ INTRODUCTION: Welcome, curious minds, to a captivating journey that intertwines medicine, technology, and the …
This AI newsletter is all you need #51
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie While the focus lately has been on language foundation models β we are also excited for AI to be used to discover new science …
Image Gradient β Sobel Operator
Author(s): Vijay Vignesh Originally published on Towards AI. Source: stlzoo.org In my previous blog post, we explored the fundamental concept of Gaussian Blurring. Today, we will delve into another essential concept in classical computer vision known as Image Gradient. Image Gradient is …
Unlimiformer: Long-Range Transformers with Unlimited Length Input
Author(s): Reza Yazdanfar Originally published on Towards AI. Now itβs possible to have deep learning models with no limitation for the input size. unsplash Attention-based transformers have revolutionized the AI industry since 2017. Since then, we have seen significant progress in all …
This AI newsletter is all you need #50
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie The open-source movement continues at pace this week with Falcon, a new family of state-of-the-art language models, ascending to the top of Hugging Faceβs …
Transformer Tune-up: Fine-tune XLNet and ELECTRA for Deep Learning Sentiment Analysis (Part 3)
Author(s): Courtlin Holt-Nguyen Originally published on Towards AI. Winner: XLNet with ELECTRA a very close runner-up Image created by the author + Stable Diffusion Β· IntroductionΒ· Fine-tuning XLNet NLP model for sentiment analysis with PyTorchΒ· Fine-tune an NLP ELECTRA model with PyTorchΒ· …
Explainable and Interpretable Models are Important in Machine Learning
Author(s): Suhas Maddali Originally published on Towards AI. Learn to use libraries such as LIME, SHAP and others to determine the workings of black-box machine learning models with examples and illustrations, ensuring that they are safe, fair and have less bias Photo …
Transformer Tune-up: Fine-tune BERT for State-of-the-art sentiment Analysis Using Hugging Face
Author(s): Courtlin Holt-Nguyen Originally published on Towards AI. BERT Transformer Source: Image created by the author + Stable Diffusion (All Rights Reserved) In the context of machine learning and NLP, a transformer is a deep learning model introduced in a paper titled …
Mastering Sentiment Analysis with Python using the Attention Mechanism
Author(s): The AI Quant Originally published on Towards AI. Businesses across industries now recognize the importance of understanding customer opinions and sentiments. By gauging the sentiment behind product reviews, brand mentions, and service feedback, companies can gain vital insights into customer satisfaction, …
Understanding K-Nearest Neighbors: A Simple Approach to Classification and Regression
Author(s): Pranay Rishith Originally published on Towards AI. Photo by Avi Waxman on Unsplash What is KNN Definition K-Nearest Neighbors (KNN) is a supervised algorithm. The basic idea behind KNN is to find K nearest data points in the training space to …
This AI newsletter is all you need #49
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie New AI model releases and announcements continued at pace this week, though step-change progress in capabilities feels slower than earlier this year. AI remained …
Distilling Step-by-Step : Paper Review
Author(s): Marcello Politi Originally published on Towards AI. Photo by Dan Cristian PΔdureΘ on Unsplash This blog post was written by Marcello Politi and Vijayasri Iyer. Nowadays, large language models are quite prominent. Recent trends in AI Research have shown that larger …
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