Hacker News

JULY 24, 2024

If you're a graphics dev looking to understand more about deep learning, this blog introduces the basic principles in a graphics dev context.

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Cassie Kozyrkov

MARCH 21, 2025

All My Blog Posts In OnePlace (And its not thisplace.) In it, youll find a link to every single medium.com blog post Ive ever published, along with its FriendLink. In it, youll find a link to every single medium.com blog post Ive ever published, along with its FriendLink. This spreadsheet.

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Analytics Vidhya

DECEMBER 30, 2022

The post Top 10 blogs on NLP in Analytics Vidhya 2022 appeared first on Analytics Vidhya. It involves developing algorithms and models to analyze, understand, and generate human language, enabling computers to perform sentiment analysis, language translation, text summarization, and tasks. Natural language processing (NLP) is […].

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KDnuggets

MARCH 17, 2022

In this short blog, we’ll review the process of taking a POC data science pipeline (ML/Deep learning/NLP) that was conducted on Google Colab, and transforming it into a pipeline that can run parallel at scale and works with Git so the team can collaborate on.

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The MLOps Blog

MARCH 13, 2025

In his famous blog post Artificial Intelligence The Revolution Hasnt Happened Yet , Michael Jordan (the AI researcher, not the one you probably thought of first) tells a story about how he might have almost lost his unborn daughter due to a faulty AI prediction. He speculates that many children die needlessly each year in the same way.

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Analytics Vidhya

JULY 13, 2022

Introduction In this blog, we will try to solve a famously discussed task of Brain MRI segmentation. Where our task will be to take brain MR images as input and utilize them with deep learning for automatic brain segmentation matured to a level […]. This article was published as a part of the Data Science Blogathon.

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Towards AI

FEBRUARY 15, 2025

Blackbox nature of DL models Deep learning systems are a kind of black box when it comes to analysing how they give a particular output, and as the size of the model increase this complexity is further increased. Last Updated on February 17, 2025 by Editorial Team Author(s): Lalit Kumar Originally published on Towards AI.

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Pickl AI

NOVEMBER 24, 2024

Summary: Autoencoders are powerful neural networks used for deep learning. Their applications include dimensionality reduction, feature learning, noise reduction, and generative modelling. In this blog, we will explore what autoencoders are, how they work, their various types, and real-world applications. Let’s dive in!

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Analytics Vidhya

JANUARY 5, 2022

Objective This blog post will learn how to use the Hugging face transformers functions to perform prolonged Natural Language Processing tasks. Prerequisites Knowledge of Deep Learning and Natural Language Processing (NLP) Introduction Transformers was introduced in the paper Attention is all you need; it is […].

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KDnuggets

SEPTEMBER 5, 2019

This blog summarizes the career advice/reading research papers lecture in the CS230 Deep learning course by Stanford University on YouTube, and includes advice from Andrew Ng on how to read research papers.

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Pickl AI

JANUARY 29, 2025

Summary: This article presents 10 engaging Deep Learning projects for beginners, covering areas like image classification, emotion recognition, and audio processing. Each project is designed to provide practical experience and enhance understanding of key concepts in Deep Learning. What is Deep Learning?

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Analytics Vidhya

DECEMBER 23, 2023

Introduction In deep learning, the Adam optimizer has become a go-to algorithm for many practitioners. Its ability to adapt learning rates for different parameters and its gentle computational requirements make it a versatile and efficient choice.

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KDnuggets

NOVEMBER 21, 2019

This blog shows how text data representations can be used to build a classifier to predict a developer’s deep learning framework of choice based on the code that they wrote, via examples of TensorFlow and PyTorch projects.

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IBM Journey to AI blog

MAY 10, 2024

Underpinning most artificial intelligence (AI) deep learning is a subset of machine learning that uses multi-layered neural networks to simulate the complex decision-making power of the human brain. Deep learning requires a tremendous amount of computing power.

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Towards AI

NOVEMBER 13, 2024

Image by Lanju Fotografie on Unsplash It is widely known that PyTorch and TensorFlow are the two most popular and established frameworks in the deep learning community. Nonetheless building deep learning models from scratch can help us appreciate and develop intuition about how neural networks work.

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Data Science Blog

MAY 10, 2023

Der Kurs für Maschinelles Lernen ist nicht nur ein sinnvoller Einstieg in diese Materie, sondern kann darauf aufbauend mit dem Thema Deep Learning in der Qualifikation erweitert werden. Die populäre Applikation ChatGPT ist ein Produkt des Deep Learning. Deep Learning kann mit AI gleichgesetzt werden.

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Towards AI

DECEMBER 21, 2024

For deep learning, I used TensorFlow 1.x, I used grid search or random… Read the full blog for free on Medium. Training involved long cycles of feature engineering everything from creating TF-IDF vectors for text features to manually generating embeddings. Join thousands of data leaders on the AI newsletter.

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databricks

APRIL 20, 2023

Background and Motives Deep Learning algorithms are complex and time consuming to train, but are quickly moving from the lab to production because.

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Towards AI

DECEMBER 18, 2024

I have been in the Data field for over 8 years, and Machine Learning is what got me interested then, so I am writing about this! They chase the hype Neural Networks, Transformers, Deep Learning, and, who can forget AI and fall flat. Youll learn faster than any tutorial can teach you. Forget deep learning for now.

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Towards AI

DECEMBER 18, 2024

I have been in the Data field for over 8 years, and Machine Learning is what got me interested then, so I am writing about this! They chase the hype Neural Networks, Transformers, Deep Learning, and, who can forget AI and fall flat. Youll learn faster than any tutorial can teach you. Forget deep learning for now.

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Data Science Dojo

NOVEMBER 10, 2023

Jax: Jax is a high-performance numerical computation library for Python with a focus on machine learning and deep learning research. It is developed by Google AI and has been used to achieve state-of-the-art results in a variety of machine learning tasks, including generative AI.

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Data Science Dojo

FEBRUARY 13, 2025

Whether you’re a researcher, developer, startup founder, or simply an AI enthusiast, these events provide an opportunity to learn from the best, gain hands-on experience, and discover the future of AI. Machine Learning & Deep Learning Advances Gain insights into the latest ML models, neural networks, and generative AI applications.

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Analytics Vidhya

SEPTEMBER 27, 2022

Introduction My last blog discussed the “Training of a convolutional neural network from scratch using the custom dataset.” ” In that blog, I have explained: how to create a dataset directory, train, test and validation dataset splitting, and training from scratch. This blog is […].

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Data Science Dojo

JULY 2, 2023

Transformers, a type of Deep Learning model, have played a crucial role in the rise of LLMs. This solution aims to address the deep learning deployment gap in the banking sector by jump-starting banks’ deep learning language capabilities in a matter of weeks, rather than years [ 1 ].

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Towards AI

JANUARY 31, 2025

Explaining a black box Deep learning model is an essential but difficult task for engineers in an AI project. However, the term Black box can be seen frequently in Deep learning as the Black-box models are the ones that are difficult to interpret. Author(s): Chien Vu Originally published on Towards AI.

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Towards AI

AUGUST 5, 2024

comparison method, cost approach or expert evaluation), machine learning and deep learning models offer new alternatives. In this article, I will give you a simple 10-minute introduction to the most important deep learning models that are frequently used in recent research (see reference) to predict the prices of used cars.

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Data Science Blog

MAY 22, 2023

Vektor-Datenbanken sind ein weiterer Typ von Datenbank, die unter Einsatz von AI (Deep Learning, n-grams, …) Wissen in Vektoren übersetzen und damit vergleichbarer und wieder auffindbarer machen. appeared first on Data Science Blog. Das ist Wissensmanagement auf einem neuen Level, dank Vektor-Datenbanken und KI.

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PyImageSearch

DECEMBER 9, 2024

In the 1st blog of this series , you were introduced to Photogrammetry, which is based on 3D Reconstruction via heavy geometry. And in the 2nd blog of this series , you were introduced to NeRFs, which is 3D Reconstruction via Neural Networks, projecting points in the 3D space. And how is that done? Yes, using COLMAP! Who knows?

Deep Learning 101

Deep Learning Deep Learning Algorithm Computer Science 101

Analytics Vidhya

APRIL 25, 2024

This blog post explores GhostFaceNets through captivating visuals and insightful illustrations, aiming to educate, motivate, and spark creativity. The journey is not just a blog post, but a unique exploration of […] The post GhostFaceNets: Efficient Face Recognition on Edge Devices appeared first on Analytics Vidhya.

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Towards AI

JANUARY 29, 2025

This isnt just a blog its a quest. Now, lets meet our first knight: Scaled-Up Deep Learning the tech equivalent of supersize me. The Promise and Peril Scaled-up deep learning has brought us closer to AGI than ever before, but its not a silver bullet. Build systems that climb higher. So buckle up!

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Analytics Vidhya

SEPTEMBER 24, 2021

This article was published as a part of the Data Science Blogathon Image 1 Introduction In this article, I will use the YouTube Trends database and Python programming language to train a language model that generates text using learning tools, which will be used for the task of making youtube video articles or for your blogs. […].

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Analytics Vidhya

AUGUST 7, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon In the last blog, we discussed what an Artificial Neural network. The post Implementing Artificial Neural Network on Unstructured Data appeared first on Analytics Vidhya.

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Data Science Dojo

APRIL 11, 2023

Let’s explore the best tech YouTube channels of 2023 in this blog! Top tech Youtube channels – Data Science Dojo Check out these 8 must-subscribe tech YouTube channels In this blog post, we’ve compiled a list of eight must-subscribe tech YouTube channels to help you stay on top of the game. So why wait? Deeplearning.ai

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Analytics Vidhya

JUNE 1, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: This blog deals with MNIST Data. Actually, MNIST is ‘Modified. The post MNIST Dataset Prediction Using Keras! appeared first on Analytics Vidhya.

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Analytics Vidhya

MAY 28, 2021

In this blog going to learn and build. ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Hello Readers!! The post Plant Seedlings Classification Using CNN – With Python Code appeared first on Analytics Vidhya.

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Analytics Vidhya

DECEMBER 10, 2021

From the latest developments to guiding people through the thorns of career, Analytics Vidhya has it all in its blog archives. Introduction Analytics Vidhya has been at the helm when it comes to publishing high-quality content since the beginning of its inception.

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Analytics Vidhya

NOVEMBER 12, 2020

Introduction In this short article, I will talk about unsupervised learning especially in the energy domain. The blog would mainly focus on the application. The post Deep Unsupervised Learning in Energy Sector – Autoencoders in Action appeared first on Analytics Vidhya.

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