Marktechpost

JUNE 27, 2023

Hallucination is the word used to describe the situation when AI algorithms and deep learning neural networks create results that are not real, do not match any data the algorithm has been trained on, or do not follow any other discernible pattern. What Goes Wrong with AI Chatbots?

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence AI Chatbots Chatbots 98

Pickl AI

JANUARY 15, 2023

With the speedy evolution of technologies, Machine Learning, Artificial Intelligence and Deep learning meaning might baffle you. This blog would act as a guide for you to understand the concept- What is Deep Learning?- What is Deep Learning in AI? How Deep Learning works?

Deep Learning 52

Deep Learning Neural Network Convolutional Neural Networks Machine Learning 52

Heartbeat

NOVEMBER 21, 2023

Computer vision, the field dedicated to enabling machines to perceive and understand visual data, has witnessed a monumental shift in recent years with the advent of deep learning. Photo by charlesdeluvio on Unsplash Welcome to a journey through the advancements and applications of deep learning in computer vision.

Computer Vision 52

Computer Vision Deep Learning NLP Neural Network 52

Pickl AI

AUGUST 1, 2024

Summary : Deep Learning engineers specialise in designing, developing, and implementing neural networks to solve complex problems. Introduction Deep Learning engineers are specialised professionals who design, develop, and implement Deep Learning models and algorithms.

Deep Learning 52

Deep Learning Neural Network Machine Learning Natural Language Processing 52

Pickl AI

SEPTEMBER 25, 2024

Summary: This blog delves into 20 Deep Learning applications that are revolutionising various industries in 2024. From healthcare to finance, retail to autonomous vehicles, Deep Learning is driving efficiency, personalization, and innovation across sectors.

Deep Learning 52

Deep Learning Algorithm Convolutional Neural Networks Neural Network 52

Pickl AI

SEPTEMBER 23, 2024

Summary: This guide covers the most important Deep Learning interview questions, including foundational concepts, advanced techniques, and scenario-based inquiries. Gain insights into neural networks, optimisation methods, and troubleshooting tips to excel in Deep Learning interviews and showcase your expertise.

Deep Learning 52

Deep Learning Neural Network Natural Language Processing Convolutional Neural Networks 52

IBM Journey to AI blog

AUGUST 28, 2023

Machine learning algorithms like Naïve Bayes and support vector machines (SVM), and deep learning models like convolutional neural networks (CNN) are frequently used for text classification. And with advanced software like IBM Watson Assistant , social media data is more powerful than ever.

Data Mining 170

Data Mining Convolutional Neural Networks Categorization Machine Learning 170

Mlearning.ai

DECEMBER 13, 2023

Mastering Deep Learning and AI Interview Questions: What You Need to Know Image created by the author on Canva Knowledge is power, but enthusiasm pulls the switch.” Ever wondered what it takes to excel in deep learning interviews? Describe the architecture of a Convolutional Neural Network (CNN) in detail.

Deep Learning 52

Deep Learning Neural Network Explainability Convolutional Neural Networks 52

AssemblyAI

SEPTEMBER 22, 2023

As for any diffusion model , Stable Audio adds noise to the audio vector, which a U-Net Convolutional Neural Network learns to remove, guided by the text and timing embeddings. A pre-trained CLAP transformer also generates text embeddings to represent musical characteristics like style, instrumentation, tempo, and mood.

Convolutional Neural Networks 246

Convolutional Neural Networks AI AI Data Scarcity 246

Marktechpost

JUNE 27, 2023

The technology may have meaningful interactions with consumers because it uses machine learning and natural language processing. The system’s adaptability makes it useful in many contexts, including but not limited to customer care, virtual agents, and chatbots. ChatGPT can provide customers with a conversational A.I.

AI Tools 102

AI Tools Convolutional Neural Networks Artificial Intelligence Artificial Intelligence 102

Heartbeat

MAY 30, 2023

It combines reinforcement learning (RL), a type of learning in which an agent learns through examinations and experimentations by receiving rewards or punishments based on its actions, with deep learning. This machine learning subset uses artificially generated neural networks to model complex data relationships.

Neural Network 72

Neural Network Convolutional Neural Networks Deep Learning Machine Learning 72

Chatbots Life

APRIL 16, 2024

Artificial Neural Networks (ANN): ANNs are flexible discriminative models composed of interconnected layers of artificial neurons. They can learn complex mappings between input and output variables. Convolutional Neural Networks (CNN): CNNs are specialized deep learning models commonly used for image classification tasks.

Neural Network 59

Neural Network Convolutional Neural Networks Natural Language Processing Machine Learning 59

Viso.ai

JANUARY 24, 2025

Narrow AI chatbots, for instance, are very good at responding to pre-formulated queries, but they have trouble with intricate, open-ended discussions. Architecture of LeNet5 – Convolutional Neural Network – Source The capacity of AGI to generalize and adapt across a broad range of tasks and domains is one of its primary features.

Convolutional Neural Networks 59

Convolutional Neural Networks Neural Network Deep Learning Large Language Models 59

Chatbots Life

OCTOBER 9, 2023

Researchers are using microwave imaging and convolutional neural networks for breast cancer screening with high accuracy in classifying profiles as healthy or diseased. ? was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Deep Learning Generative AI 52

How to Learn Machine Learning

AUGUST 15, 2024

Highlight impact : Whenever possible, quantify the results and impact of your machine learning projects. Example: TensorFlow Image Classification Tutorial Natural Language Processing : Create a sentiment analysis tool or a chatbot using techniques like LSTM or transformers.

Machine Learning 64

Machine Learning Convolutional Neural Networks Neural Network Artificial Intelligence 64

Heartbeat

DECEMBER 8, 2023

Agents can be used for applications such as personal assistants, question answering, chatbots, querying tabular data, interacting with APIs, extraction, summarization, and evaluation. This includes cleaning and transforming data, performing calculations, or applying machine learning algorithms. Meta's chief A.I.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Deep Learning LLM 52

Topbots

OCTOBER 4, 2023

Image processing : Predictive image processing models, such as convolutional neural networks (CNNs), can classify images into predefined labels (e.g., They can be based on basic machine learning models like linear regression, logistic regression, decision trees, and random forests. sales volume) and binary variables (e.g.,

Generative AI 119

Generative AI Natural Language Processing Machine Learning Convolutional Neural Networks 119

Pickl AI

AUGUST 14, 2024

Neural networks come in various forms, each designed for specific tasks: Feedforward Neural Networks (FNNs) : The simplest type, where connections between nodes do not form cycles. The resurgence of neural networks in the 1980s was marked by the development of backpropagation, a method for training multi-layer networks.

Neural Network 52

Neural Network Machine Learning Convolutional Neural Networks Natural Language Processing 52

Viso.ai

FEBRUARY 25, 2023

Vision Transformer (ViT) have recently emerged as a competitive alternative to Convolutional Neural Networks (CNNs) that are currently state-of-the-art in different image recognition computer vision tasks. For example, the popular ChatGPT AI chatbot is a transformer-based language model.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Natural Language Processing 52

Mlearning.ai

MAY 30, 2023

As we know that Convolutional Neural Network (CNN) is used for structured arrays of data such as image data. RNNs may create new text based on previously acquired patterns by training on a huge corpus of text and learning the statistical dependencies and patterns inherent in the language. RNN is used for sequential data.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing Machine Learning 52

Viso.ai

JULY 9, 2024

Efficient, quick, and cost-effective learning processes are crucial for scaling these models. Transfer Learning is a key technique implemented by researchers and ML scientists to enhance efficiency and reduce costs in Deep learning and Natural Language Processing. But, we should also consider the existing limitations.

Neural Network 52

Neural Network BERT Deep Learning Computer Vision 52

Pickl AI

JULY 14, 2023

Consequently, inspired by the brain’s structure, neural networks experienced a resurgence and contributed to advancements in image and speech recognition. Big Data and Deep Learning (2010s-2020s): The availability of massive amounts of data and increased computational power led to the rise of Big Data analytics.

Neural Network 52

Neural Network Software Engineer Artificial Intelligence Artificial Intelligence 52

Viso.ai

MARCH 26, 2024

With advancements in machine learning (ML) and deep learning (DL), AI has begun to significantly influence financial operations. Arguably, one of the most pivotal breakthroughs is the application of Convolutional Neural Networks (CNNs) to financial processes.

Computer Vision 52

Computer Vision Neural Network Machine Learning Convolutional Neural Networks 52

Pickl AI

SEPTEMBER 18, 2023

Restricted Boltzmann Machines (RBMs) are a simplified version often used for dimensionality reduction and feature learning. PixelRNN models generate pixels sequentially, while PixelCNN models use a convolutional neural network to model the conditional distribution of each pixel. Can an AI model generate data?

Generative AI 52

Generative AI Neural Network Artificial Intelligence Artificial Intelligence 52

Viso.ai

JULY 9, 2024

Discriminative models include a wide range of models, like Convolutional Neural Networks (CNNs), Deep Neural Networks (DNNs), Support Vector Machines (SVMs), or even simpler models like random forests. However, generative AI models are a different class of deep learning.

Generative AI 52

Generative AI Neural Network Convolutional Neural Networks AI 52

Pickl AI

NOVEMBER 13, 2024

By computing gradients for each weight, backpropagation ensures that the network learns more effectively from the data. This optimisation process allows neural networks to model complex, nonlinear relationships, making backpropagation a cornerstone of modern deep learning.

Neural Network 52

Neural Network Algorithm Convolutional Neural Networks Natural Language Processing 52

Pragnakalp

JANUARY 1, 2024

The concept of a transformer, an attention-layer-based, sequence-to-sequence (“Seq2Seq”) encoder-decoder architecture, was conceived in a 2017 paper authored by pioneer in deep learning models Ashish Vaswani et al called “Attention Is All You Need”.

Neural Network 52

Neural Network Natural Language Processing Convolutional Neural Networks NLP 52

ML Review

JUNE 4, 2018

However, in 2014 a number of high-profile AI labs began to release new approaches leveraging deep learning to improve performance. The first paper, to the best of our knowledge, to apply neural networks to the image captioning problem was Kiros et al. Sequence to Sequence Learning with Neural Networks.

Neural Network 52

Neural Network Convolutional Neural Networks Computer Vision Deep Learning 52

Mlearning.ai

JUNE 8, 2023

Images can be embedded using models such as convolutional neural networks (CNNs) , Examples of CNNs include VGG , and Inception. A few embeddings for different data type For text data, models such as Word2Vec , GLoVE , and BERT transform words, sentences, or paragraphs into vector embeddings. using its Spectrogram ).

Machine Learning 52

Machine Learning BERT Neural Network OpenAI 52

Unite.AI

AUGUST 8, 2023

These advances have fueled applications in document creation, chatbot dialogue systems, and even synthetic music composition. An essential architectural backbone for many diffusion models is the UNet —a convolutional neural network tailored for tasks requiring outputs mirroring the spatial dimension of inputs.

Generative AI 243

Generative AI ChatGPT Neural Network Convolutional Neural Networks 243

Heartbeat

JANUARY 12, 2023

How to Log Your Keras Deep Learning Experiments With Comet Image by rawpixel.com on Freepik Overview Let us start by asking ourselves some questions: Have you ever wondered how Google’s translation app can instantly convert entire paragraphs between two languages? What is Deep Learning? Experience is the best teacher.

Deep Learning 52

Deep Learning Convolutional Neural Networks Neural Network Machine Learning 52

Viso.ai

DECEMBER 21, 2023

From the development of sophisticated object detection algorithms to the rise of convolutional neural networks (CNNs) for image classification to innovations in facial recognition technology, applications of computer vision are transforming entire industries. Thus, positioning him as one of the top AI influencers in the world.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 52