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. So you definitely can trust his expertise in Machine Learning and Deep Learning. Luckily, there’s a handy tool to pick up Deep Learning Architecture.

Deep Learning 111

Deep Learning Neural Network ML Computer Vision 111

Heartbeat

FEBRUARY 21, 2024

Photo by Almos Bechtold on Unsplash Deep learning is a machine learning sub-branch that can automatically learn and understand complex tasks using artificial neural networks. Deep learning uses deep (multilayer) neural networks to process large amounts of data and learn highly abstract patterns.

Deep Learning 52

Deep Learning Neural Network Algorithm Machine Learning 52

Heartbeat

OCTOBER 11, 2023

A key component of artificial intelligence is training algorithms to make predictions or judgments based on data. This process is known as machine learning or deep learning. Two of the most well-known subfields of AI are machine learning and deep learning. What is Machine Learning?

Deep Learning 52

Deep Learning Machine Learning Neural Network Natural Language Processing 52

Towards AI

NOVEMBER 19, 2023

Photo by Pietro Jeng on Unsplash Deep learning is a type of machine learning that utilizes layered neural networks to help computers learn from large amounts of data in an automated way, much like humans do. Loss functions guide learning by measuring errors. Activation functions introduce non-linear patterns.

Deep Learning 116

Deep Learning Neural Network Natural Language Processing Machine Learning 116

Marktechpost

OCTOBER 8, 2023

The researchers emphasize that this approach of explainability examines an AI’s full prediction process from input to output. The research group has already created techniques for using heat maps to demonstrate how AI algorithms make judgments. If you like our work, you will love our newsletter. We are also on WhatsApp.

Deep Learning 135

Deep Learning Neural Network Explainability Artificial Intelligence 135

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.

Deep Learning 59

Deep Learning Convolutional Neural Networks Explainability Neural Network 59

Heartbeat

NOVEMBER 14, 2023

For many years, gradient-boosting models and deep-learning solutions have won the lion's share of Kaggle competitions. XGBoost is not limited to machine learning tasks, as its incredible power can be harnessed when harmonized with deep learning algorithms. 2 (2021): 522–531.

Deep Learning 52

Deep Learning Convolutional Neural Networks Neural Network Machine Learning 52

PyImageSearch

JANUARY 30, 2023

This last blog of the series will cover the benefits, applications, challenges, and tradeoffs of using deep learning in the education sector. To learn about Computer Vision and Deep Learning for Education, just keep reading. As soon as the system adapts to human wants, it automates the learning process accordingly.

Computer Vision 107

Computer Vision Deep Learning Neural Network Artificial Intelligence 107

Heartbeat

AUGUST 1, 2023

A World of Computer Vision Outside of Deep Learning Photo by Museums Victoria on Unsplash IBM defines computer vision as “a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, videos and other visual inputs [1].”

Computer Vision 52

Computer Vision Deep Learning Neural Network Algorithm 52

Unite.AI

NOVEMBER 6, 2023

Traditional machine learning is a broad term that covers a wide variety of algorithms primarily driven by statistics. The two main types of traditional ML algorithms are supervised and unsupervised. These algorithms are designed to develop models from structured datasets. K-means Clustering. K-means Clustering.

Machine Learning 204

Machine Learning Neural Network Deep Learning Convolutional Neural Networks 204

ODSC - Open Data Science

OCTOBER 17, 2023

But without a strong understanding of deep learning, you’ll have a difficult time getting the most out of the cutting-edge developments in the industry. At ODSC West this October 30th to November 2nd, you’ll build the core knowledge and skills you need with the sessions in the deep learning track , such as the ones listed below.

Deep Learning 52

Deep Learning Machine Learning Data Scientist Data Science 52

Heartbeat

OCTOBER 18, 2023

In this article, we embark on a journey to explore the transformative potential of deep learning in revolutionizing recommender systems. However, deep learning has opened new horizons, allowing recommendation engines to unravel intricate patterns, uncover latent preferences, and provide accurate suggestions at scale.

Deep Learning 52

Deep Learning Neural Network Machine Learning Algorithm 52

Towards AI

MAY 13, 2024

This synergy enables AI supercomputers to leverage HPC capabilities, optimizing performance for demanding AI tasks like training deep learning models or image recognition algorithms. When it comes to large AI model training, supercomputers sound like an even bigger deal.

AI Modeling 78

AI Modeling Explainability Deep Learning AI 78

Viso.ai

FEBRUARY 8, 2024

introduced deep belief networks (DBNs) in 2006. These deep learning algorithms consist of latent variables and use them to learn underlying patterns within the data. This greedy layer-wise learning allows for efficient feature learning. Geoffrey Hinton et al. Get a demo here.

Explainability 52

Explainability Neural Network Computer Vision Deep Learning 52

Heartbeat

JUNE 23, 2023

However, with the advent of deep learning, researchers have explored various neural network architectures to model and forecast time series data. In this post, we will look at deep learning approaches for time series analysis and how they might be used in real-world applications. Let’s dive in!

Deep Learning 52

Deep Learning Neural Network Convolutional Neural Networks Python 52

Heartbeat

SEPTEMBER 13, 2023

Source: ResearchGate Explainability refers to the ability to understand and evaluate the decisions and reasoning underlying the predictions from AI models (Castillo, 2021). Explainability techniques aim to reveal the inner workings of AI systems by offering insights into their predictions. What is Explainability?

Explainability 52

Explainability Machine Learning Deep Learning Explainable AI 52

Heartbeat

SEPTEMBER 7, 2023

In the ever-evolving landscape of machine learning and artificial intelligence, understanding and explaining the decisions made by models have become paramount. Enter Comet , that streamlines the model development process and strongly emphasizes model interpretability and explainability. Why Does It Matter?

Explainability 52

Explainability Machine Learning Data Scientist Deep Learning 52

PyImageSearch

JANUARY 2, 2023

This blog will cover the benefits, applications, challenges, and tradeoffs of using deep learning in healthcare. Computer Vision and Deep Learning for Healthcare Benefits Unlocking Data for Health Research The volume of healthcare-related data is increasing at an exponential rate.

Computer Vision 52

Computer Vision Deep Learning Neural Network Machine Learning 52

Unite.AI

DECEMBER 1, 2023

Machine learning , a subset of AI, involves three components: algorithms, training data, and the resulting model. An algorithm, essentially a set of procedures, learns to identify patterns from a large set of examples (training data). The culmination of this training is a machine-learning model.

LLM 264

LLM Machine Learning Explainability Algorithm 264

Marktechpost

JULY 6, 2023

As a result, it becomes necessary for humans to comprehend these algorithms and their workings on a deeper level. This is where Interpretable (IAI) and Explainable (XAI) Artificial Intelligence techniques come into play, and the need to understand their differences become more apparent.

Explainable AI 52

Explainable AI Explainability Neural Network AI 52

Marktechpost

MAY 5, 2024

Machine Learning with Python This course covers the fundamentals of machine learning algorithms and when to use each of them. Machine Learning Specialization “Machine Learning Specialization” teaches the core concepts of machine learning and how to build real-world AI applications using the same.

Machine Learning 106

Machine Learning Python Neural Network Convolutional Neural Networks 106

Towards AI

JULY 17, 2023

About this series In this series, we will learn how to code the must-to-know deep learning algorithms such as convolutions, backpropagation, activation functions, optimizers, deep neural networks, and so on using only plain and modern C++. The problem often is: how to know the F() formula?

Deep Learning 68

Deep Learning Machine Learning Neural Network Artificial Intelligence 68

Heartbeat

MAY 23, 2023

As technology continues to improve exponentially, deep learning has emerged as a critical tool for enabling machines to make decisions and predictions based on large volumes of data. Edge computing may change how we think about deep learning. Standardizing model management can be tricky but there is a solution.

Deep Learning 52

Deep Learning Machine Learning AI AI 52

AI Weekly

APRIL 11, 2024

And this is particularly true for accounts payable (AP) programs, where AI, coupled with advancements in deep learning, computer vision and natural language processing (NLP), is helping drive increased efficiency, accuracy and cost savings for businesses. Answering them, he explained, requires an interdisciplinary approach.

Robotics 207

Robotics Large Language Models Artificial Intelligence Artificial Intelligence 207

Marktechpost

MARCH 31, 2024

It covers topics like calculus, probability, linear algebra, and statistics and how to apply them to algorithms like linear regression and logistic regression. The book also provides Python code to explain these concepts. It also has numerous code examples to help solidify the learnings.

Data Science 109

Data Science Data Mining Neural Network Machine Learning 109

Marktechpost

APRIL 28, 2024

and also allows the students to build an understanding of machine learning algorithms, including supervised, unsupervised, reinforcement, etc. Introduction to Artificial Intelligence with Python This course has been designed by Harvard University and explores the foundational concepts and algorithms of modern artificial intelligence.

Artificial Intelligence 103

Artificial Intelligence Artificial Intelligence Prompt Engineer Prompt Engineering 103

Towards AI

MAY 23, 2023

RL algorithms can be generally categorized into two groups i.e., value-based and policy-based methods. We will discuss the intuition behind PG, how it works, and also provide a code implementation of the algorithm. Last Updated on May 25, 2023 by Editorial Team Author(s): Ebrahim Pichka Originally published on Towards AI.

Explainability 89

Explainability Neural Network Algorithm Categorization 89

Unite.AI

MAY 8, 2024

My interest in machine learning (ML) was a gradual process. During my school years, I spent a lot of time studying math, probability theory, and statistics, and got an opportunity to play with classical machine learning algorithms such as linear regression and KNN.

Machine Learning 298

Machine Learning Software Engineer Large Language Models Data Analysis 298

Bugra Akyildiz

JULY 29, 2023

Within only two years large foundational models like CLIP , Stable Diffusion , and Flamingo have fundamentally transformed multimodal deep learning. As of 2023, multimodal deep learning is still heavily focusing on text-image modeling, while other modalities such as video (and audio) are only sparsely investigated.

Explainability 52

Explainability Large Language Models LLM Deep Learning 52

Marktechpost

MAY 1, 2024

In contrast, artificial intelligence represents a different paradigm, focusing on specific tasks performed through algorithms, data processing, and machine learning techniques. Human introspection is limited, making it challenging to explain unconscious thoughts.

Neural Network 91

Neural Network Artificial Intelligence Artificial Intelligence Explainability 91

The Stanford AI Lab Blog

FEBRUARY 24, 2022

In this first post, we’ll analyze self-training , which is a very impactful algorithmic paradigm for semi-supervised learning and domain adaptation. In Part 2, we will use related theoretical ideas to analyze self-supervised contrastive learning algorithms, which have been very effective for unsupervised representation learning.

Deep Learning 40

Deep Learning Algorithm Explainability 40

IBM Journey to AI blog

JUNE 26, 2023

Possibilities are growing that include assisting in writing articles, essays or emails; accessing summarized research; generating and brainstorming ideas; dynamic search with personalized recommendations for retail and travel; and explaining complicated topics for education and training. What is generative AI? What is watsonx.governance?

Generative AI 177

Generative AI Explainability Explainable AI Natural Language Processing 177

Unite.AI

FEBRUARY 16, 2024

Despite achieving remarkable results in areas like computer vision and natural language processing , current AI systems are constrained by the quality and quantity of training data, predefined algorithms, and specific optimization objectives.

Neural Network 195

Neural Network Algorithm Machine Learning Natural Language Processing 195

NYU Center for Data Science

AUGUST 8, 2023

In his research, Guth seeks to understand how deep learning manages to exploit the structure of real-world learning problems and work so effectively in practice. Guth’s work stands out for its focus on unraveling the mysteries of deep learning.

Deep Learning 78

Deep Learning Neural Network Explainability Algorithm 78

Unite.AI

NOVEMBER 14, 2023

The Challenges of Current AI Hardware The rapid advancements in AI have ushered in complex algorithms and models, demanding an unprecedented level of computational power. She explains, “The brain-inspired codes of the AI revolution are largely being run on conventional silicon computer architectures which were not designed for it.”

Neural Network 182

Neural Network AI AI Explainability 182

Towards AI

MAY 14, 2024

Created by the author with DALL E-3 Machine learning has become very popular in the world of technology, this is evidenced as witnessed in social media with topics like deep learning, artificial intelligence and machine learning dominating the conversation when it comes to technology-related topics.

Machine Learning 92

Machine Learning Python Algorithm Artificial Intelligence 92

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?

Deep Learning 83

Deep Learning Algorithm Machine Learning Explainability 83