Towards AI

SEPTEMBER 10, 2023

What I’ve learned from the most popular DL course Photo by Sincerely Media on Unsplash I’ve recently finished the Practical Deep Learning Course from Fast.AI. He also used to be #1 on the Kaggle leaderboard. So you definitely can trust his expertise in Machine Learning and Deep Learning.

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Dataconomy

DECEMBER 4, 2023

Rain AI’s NPUs, dubbed “Digital Dendrites,” are inspired by the structure and function of the human brain. Rain AI is a startup company that is developing neuromorphic processors (NPUs), which are a type of computer chip that is designed to mimic the structure and function of the human brain. How do NPUs work?

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Data Science Dojo

APRIL 18, 2024

While humans can use language to understand each other, in today’s digital world, they must also interact with machines. The answer lies in large language models (LLMs) – machine-learning models that empower machines to learn, understand, and interact using human language.

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Towards AI

JANUARY 8, 2024

This is especially true for the huge language models that seem to have gained all the media’s attention. While discussion about deep learning seems to be everywhere now, I also have the strong impression that this whole field of artificial intelligence appears to be a huge black-box topic. What are types of neural networks?What

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Towards AI

DECEMBER 28, 2023

The advent of more powerful personal computers paved the way for the gradual acceptance of deep learning-based methods. The introduction of attention mechanisms has notably altered our approach to working with deep learning algorithms, leading to a revolution in the realms of computer vision and natural language processing (NLP).

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Dataconomy

FEBRUARY 28, 2023

Deep learning models have emerged as a powerful tool in the field of ML, enabling computers to learn from vast amounts of data and make decisions based on that learning. In this article, we will explore the importance of deep learning models and their applications in various fields.

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AWS Machine Learning Blog

DECEMBER 22, 2023

Large language model (LLM) training has surged in popularity over the last year with the release of several popular models such as Llama 2, Falcon, and Mistral. Training performant models at this scale can be a challenge. release of the SageMaker model parallel library.

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Towards AI

JANUARY 26, 2024

This article will explain the concept of hyperparameter tuning and the different methods that are used to perform this tuning, and their implementation using python Photo by Denisse Leon on Unsplash Table of Content Model Parameters Vs Model Hyperparameters What is hyperparameter tuning? What is hyperparameter tuning?

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Heartbeat

JANUARY 15, 2024

The field of computer vision has brought us a step closer to this reality by developing sophisticated algorithms to extract meaningful information from visual data automatically. Photo by Timothy Dykes on Unsplash One remarkable technique that has stood the test of time is the Active Contour Model, affectionately known as "snakes."

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Towards AI

MARCH 1, 2023

In this blog, we try to use CNN (Convolution Neural Network), a deep learning model for detecting casting defects by analyzing images of casting products. Tensorflow: TensorFlow is a free and open-source machine learning and artificial intelligence software library. This becomes both costly and time consuming.

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Towards AI

JANUARY 27, 2023

Deep Learning Explained: Perceptron The key concept behind every neural network. Source: Image by Gerd Altmann from Pixabay Nowadays, frameworks such as Keras, TensorFlow, or PyTorch provide turnkey access to most deep learning solutions without necessarily having to understand them in depth. I still hope to surprise you!

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Towards AI

AUGUST 29, 2023

This story explores automatic differentiation, a feature of modern Deep Learning frameworks that automatically calculates the parameter gradients during the training loop. The story introduces this technology in conjunction with practical examples using Python and C++. Why does understanding autodiff matter? But not always.

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Towards AI

JULY 17, 2023

Let’s have fun by implementing Cost Functions in pure C++ and Eigen. In machine learning, we usually model problems as functions. Therefore, most of our work consists of finding ways to approximate functions using well-known models. In this context, Cost Functions play a central role.

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Dataconomy

OCTOBER 25, 2023

The development phase of “Apple GPT” Under the guidance of Apple’s AI head, John Giannandrea, the tech giant has been deeply immersed in the development of large language models. Recent whispers suggest that Apple has been rigorously testing its own “Apple GPT” model, aiming to rival the likes of ChatGPT.

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Pickl AI

AUGUST 3, 2023

Introduction to Deep Learning Algorithms: Deep learning algorithms are a subset of machine learning techniques that are designed to automatically learn and represent data in multiple layers of abstraction. How Deep Learning Algorithms Work?

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AWS Machine Learning Blog

FEBRUARY 20, 2024

In this post, we discuss deploying scalable machine learning (ML) models for diarizing media content using Amazon SageMaker , with a focus on the WhisperX model. This S3 bucket was configured to emit an event when new files are detected within it, triggering an AWS Lambda function.

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Flipboard

MARCH 6, 2023

Project Structure Implementing Siamese Model and Triplet Loss Summary Credits Citation Information Triplet Loss with Keras and TensorFlow In today’s tutorial, we will try to understand the formulation of the triplet loss and build our Siamese Network Model in Keras and TensorFlow, which will be used to develop our Face Recognition application.

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AWS Machine Learning Blog

MAY 9, 2024

The rapid advancements in artificial intelligence and machine learning (AI/ML) have made these technologies a transformative force across industries. As observed by Harvard Business Review, an AI/ML CoE is already established in 37% of large companies in the US. What is an AI/ML CoE?

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AWS Machine Learning Blog

MAY 2, 2024

Amazon Personalize makes it straightforward to personalize your website, app, emails, and more, using the same machine learning (ML) technology used by Amazon, without requiring ML expertise. Benefits of new recipes The new recipes offer enhancements in scalability, latency, model performance, and functionality.

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Heartbeat

JANUARY 31, 2023

Non-linear activation functions that you need to know Photo by Ricardo Gomez Angel on Unsplash Activation functions are equations or mathematical formulas that help us determine the output of a neural network. In deep learning, activation functions add non-linearity to the neural networks.

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Mlearning.ai

AUGUST 22, 2023

Activation Functions in Neural Networks From the traditional Sigmoid and ReLU to cutting-edge activation functions like GeLU, this article delves into their significance, math, and guidelines for choosing the ideal function for your model. A Neural Network depicting Activations Functions in Action.

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AWS Machine Learning Blog

NOVEMBER 29, 2023

In today’s rapidly evolving landscape of artificial intelligence, deep learning models have found themselves at the forefront of innovation, with applications spanning computer vision (CV), natural language processing (NLP), and recommendation systems.

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Dataconomy

APRIL 18, 2023

While we may use AI chatbots and other AI-powered tools every day, many of us may not be familiar with the underlying principles and techniques that make these technologies possible. AI systems use a combination of algorithms, machine learning techniques, and data analytics to simulate human intelligence.

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Dataconomy

FEBRUARY 27, 2024

Last week, OpenAI mesmerized all of us with its advanced video-generation tool, Sora AI , and now Google’s groundbreaking AI model transforms simple images into fully playable virtual environments. Through this training, Genie develops a deep understanding of how environments function and how players typically interact with them.

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Heartbeat

JUNE 23, 2023

In the past, traditional statistical methods such as Autoregressive Integrated Moving Average were used for time-series analysis. However, with the advent of deep learning, researchers have explored various neural network architectures to model and forecast time series data. Let’s dive in!

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Pickl AI

JULY 28, 2023

Image Recognition using Machine Learning and MATLAB: With the advent of Machine Learning , it is now possible for computers to recognize and decipher objects, patterns, and other properties in digital photographs. Object recognition aims to find, identify, and classify particular items or areas of interest in an image.

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Heartbeat

SEPTEMBER 6, 2023

Experimenting with Comet, a machine learning platform Photo by Donny Jiang on Unsplash Creating a machine learning model is easy, but that’s not what machine learning is all about. Data scientists need to track and compare the performance of different machine learning models while using different hyperparameters.

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Heartbeat

NOVEMBER 27, 2023

Deep learning automates and improves medical picture analysis. Convolutional neural networks (CNNs) can learn complicated patterns and features from enormous datasets, emulating the human visual system. Convolutional Neural Networks (CNNs) Deep learning in medical image analysis relies on CNNs.

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Heartbeat

MARCH 13, 2024

Using Comet to monitor pre-trained models Photo by Daniel Korpai on Unsplash Transfer learning involves using a pre-trained model to solve a deep-learning problem. If your problem is not necessarily unique, it is better to create a model that has already been trained on a given task.

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Flipboard

JULY 10, 2023

RF Diffusion, a deep learning tool. The tool is now being used by biopharma companies to help design proteins for a variety of uses. Senior scientist Bobby Langan shows a video of one of his favorite deep-learning tools, used to create experimental cancer therapeutics. Click here for video.

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IBM Journey to AI blog

DECEMBER 19, 2023

As organizations collect larger data sets with potential insights into business activity, detecting anomalous data, or outliers in these data sets, is essential in discovering inefficiencies, rare events, the root cause of issues, or opportunities for operational improvements. Types of anomalies vary by enterprise and business function.

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Towards AI

SEPTEMBER 1, 2023

Numerical simulations have been used for years to understand the behavior of physical systems; how the fluids interact with a structure, how a geometry is deformed under stress, or even the thermal distribution under heating conditions. In a general manner, we want to learn the mapping between the PDE parameters (???? ∈ The solution?

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Mlearning.ai

JUNE 21, 2023

Activation Functions: The Other ReLUs — A Deep Dive{Part-1} In our previous article, ‘ Activation Functions: ReLU vs. Leaky ReLU ,’ we looked into what an activation function was, what ReLU was, and how two of its basic variant implementations were to affect the working of neural networks.

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Mlearning.ai

FEBRUARY 4, 2024

This is the second part of my Neural Networks 101 series, in this blog we are going to discuss about the training of machine learning models. You can follow me on Twitter to learn more about this. I will advise going through the loss function once before beginning this blog. I wrote a detailed blog post about it already.

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Towards AI

JUNE 20, 2023

We’re excited to announce our collaboration with Activeloop and the Intel Disruptor Initiative in creating Gen AI 360: The Foundational Model Certification. The inaugural course of the three-part series focuses on LangChain and Deep Lake, a vector database for all AI data in production. Enroll today for free at learn.activeloop.ai.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Amazon Elastic Compute Cloud (Amazon EC2) DL2q instances, powered by Qualcomm AI 100 Standard accelerators, can be used to cost-efficiently deploy deep learning (DL) workloads in the cloud. They can also be used to develop and validate performance and accuracy of DL workloads that will be deployed on Qualcomm devices.

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Dataconomy

SEPTEMBER 11, 2023

Voice-activated assistants have gone from a novel feature to an essential part of our daily lives. Siri is Apple’s voice-activated personal assistant, integrated into all iOS devices and some other Apple products. Hey Siri not working now but you can fix it easily Who can use Siri? What is Siri? Select the correct one.

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