Machine Learning (Theory)

DECEMBER 1, 2020

Several leading ML and AI conferences have recently started requiring authors to declare previous submission history of their papers. We organized an auxiliary conference review process with 134 junior reviewers from 5 top US schools and 19 papers from various areas of ML. In this post, we summarize the results of these studies.

ML 100

ML ML Machine Learning Machine Learning 100

Towards AI

FEBRUARY 5, 2024

Author(s): Abhishek Chaudhary Originally published on Towards AI. N[0] tensor([ 0, 4410, 1306, 1542, 1690, 1531, 417, 669, 874, 591, 2422, 2963, 1572, 2538, 1146, 394, 515, 92, 1639, 2055, 1308, 78, 376, 307, 134, 535, 929], dtype=torch.int32) p = N[0].float() Let’s see what that looks like for the first row.

AI 92

AI AI Data Science Machine Learning 92

AWS Machine Learning Blog

FEBRUARY 24, 2023

convnext_base 88M PyTorch 50 -68% 149 -23% 134 13% 180 0% TensorRT 16. About the authors James Wu is a Senior AI/ML Specialist Solution Architect at AWS. NLP bert-base-uncased 109M PyTorch 26 62% 70 -39% 105 142% 140 29% TensorRT 42. roberta-large 335M PyTorch 9 -11% 187 -70% 33 406% 120 50% TensorRT 8.

ML 85

ML ML Deep Learning Deep Learning 85

AWS Machine Learning Blog

MAY 5, 2023

To generate the official Fashion200K dataset, the dataset’s authors crawled more than 300,000 products online, and only products with descriptions containing more than four words made the cut. Despite the “200K” in its moniker, the women directory we extracted contains 338,339 images.

Machine Learning 74

Machine Learning Machine Learning AWS ML 74

PyImageSearch

NOVEMBER 6, 2023

These average values are then appended to their respective lists ( epoch_losses and train_scores ) for tracking purposes on Lines 133 and 134. Figure 4: Model predictions on test data: input image ( left ), predicted mask ( center ), and ground truth ( right ) across the four samples (source: image by the author). Gosthipaty, S.

Deep Learning 67

Deep Learning Deep Learning Python Data Preparation 67

PyImageSearch

DECEMBER 19, 2022

If the boolean variable is set to True , call displayFrame to annotate the frame and display the output on the screen ( Lines 128-134 ). Then, if the current frame has any detections, we extract the detections and increment the counter for FPS computation on Lines 119-122. Next, we print the network layer names. Gosthipaty, S. Raha, and A.

Deep Learning 52

Deep Learning Deep Learning Python AI 52