How to Learn Machine Learning

MAY 14, 2023

When selecting projects, consider tackling problems in different domains, such as natural language processing, computer vision, or recommendation systems. Some popular areas of specialization include natural language processing, computer vision, and reinforcement learning. Publisher) Buy on Amazon 5.

Machine Learning 52

Machine Learning Convolutional Neural Networks Natural Language Processing Deep Learning 52

Mlearning.ai

MAY 11, 2023

ChatGPT is an AI language model that has taken the world by storm since its release in 2020. GPT is like a really smart computer that can understand and use language to create new sentences and paragraphs that make sense. It does this by learning from a lot of examples of language that humans have written or spoken before.

Neural Network 52

Neural Network Explainability Convolutional Neural Networks Natural Language Processing 52

Heartbeat

JUNE 6, 2023

GCNs have been successfully applied to many domains, including computer vision and social network analysis. In recent years, researchers have also explored using GCNs for natural language processing (NLP) tasks, such as text classification , sentiment analysis , and entity recognition. Richong, Z., & Nie, JY.

NLP 59

NLP Convolutional Neural Networks Neural Network Natural Language Processing 59

Snorkel AI

MARCH 1, 2023

This process results in generalized models capable of a wide variety of tasks, such as image classification, natural language processing, and question-answering, with remarkable accuracy. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Radford et al.

BERT 83

BERT Natural Language Processing Large Language Models Neural Network 83

Viso.ai

MAY 6, 2024

The latest version is Kinetics 700-2020, which contains over 700 human action classes from up to 650,000 video clips. Transformers in Action Recognition Natural Language Processing (NLP) is the original use case for transformers. Fortunately, there are various established databases from which we can choose.

Computer Vision 52

Computer Vision Deep Learning Neural Network Convolutional Neural Networks 52

Lexalytics

APRIL 5, 2021

A paper that exemplifies the Classifier Cage Match era is LeCun et al [ 109 ], which pits support vector machines (SVMs), k-nearest neighbor (KNN) classifiers, and convolution neural networks (CNNs) against each other to recognize images from the NORB database. 90,575 trainable parameters, placing it in the small-feature regime.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing BERT 52

AWS Machine Learning Blog

FEBRUARY 10, 2023

For a given frame, our features are inspired by the 2020 Big Data Bowl Kaggle Zoo solution ( Gordeev et al. ): we construct an image for each time step with the defensive players at the rows and offensive players at the columns. He is broadly interested in Deep Learning and Natural Language Processing.

Computer Vision 79

Computer Vision Machine Learning ML Convolutional Neural Networks 79

Unite.AI

AUGUST 8, 2023

Instead of complex and sequential architectures like Recurrent Neural Networks (RNNs) or Convolutional Neural Networks (CNNs), the Transformer model introduced the concept of attention, which essentially meant focusing on different parts of the input text depending on the context.

Generative AI 243

Generative AI ChatGPT Neural Network Convolutional Neural Networks 243