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ImageNet
Backpropagation and Deep Learning in the Brain
Automated Elastic Pipelining for Distributed Training of Transformers
Convolutional Neural Network Transfer Learning for Robust Face
Tiny Imagenet Challenge
Deep Learning Is Robust to Massive Label Noise
The History Began from Alexnet: a Comprehensive Survey on Deep Learning Approaches
Kernel Descriptors for Visual Recognition
Face Recognition Using Popular Deep Net Architectures: a Brief Comparative Study
Key Ideas and Architectures in Deep Learning Applications That (Probably) Use DL
Transfer Learning Based Face Recognition Using Deep Learning M
Transfer Imagenet for Medical Image Analyzing Using Unsupervised Learning
Generation-Distillation for Efficient Natural Language Understanding in Low-Data Settings
Imagenet Classification with Deep Convolutional Neural Networks
Path Towards Better Deep Learning Models and Implications for Hardware
Cifar-10 Image Classification Using Feature Ensembles
Tiny Imagenet Classification with Convolutional Neural Networks
Unsupervised, Backpropagation-Free Convolutional Neural Networks for Representation Learning
Supplementary Materials A. CIFAR-10 Appendix B. Imagenet
Top View
Patent Claim Generation by Fine-Tuning Openai GPT-2
From Imagenet to Image Classification
Learning Transferable Visual Models from Natural Language Supervision
Deep Convolutional Neural Networks for Tiny Imagenet Classification
AI: a Glossary of Terms
Optimizing Alexnet on Tiny Imagenet10
Deep Neural Networks Are Easily Fooled: High Confidence Predictions for Unrecognizable Images
A Study of Face Obfuscation in Imagenet
Beyond Imagenet - Deep Learning in Industrial Practice Thilo Stadelmann, Vasily Tolkachev, Beate Sick, Jan Stampfli, and Oliver Dürr
CHAPTER 2: Technical Performance
GPT-3 Explainer: Putting GPT-3 Into Perspective
A Study of Face Embedding in Face Recognition
Do Imagenet Classifiers Generalize to Imagenet?
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine
Mastering the Game of Go Without Human Knowledge
Object Detection Deep Learning Networks for Optical Character Recognition
Generative Pretraining from Pixels
Facial Emotion Recognition Using Transfer Learning in the Deep CNN
Accurate, Large Minibatch SGD: Training Imagenet in 1 Hour
Unsupervised Feature Learning for Optical Character Recognition
Language Models Are Unsupervised Multitask Learners
Openai Announces GPT-3 Model for Image Generation
A Review of Binarized Neural Networks
Neural Kernels and Imagenet Multi-Label Accuracy
Visual and Semantic Similarity in Imagenet
Image Recognition and Imagenet
Learning Transferable Visual Models from Natural Language Supervision
Improved Architectures for Computer Go
Handwritten Optical Character Recognition (OCR): a Comprehensive Systematic Literature Review (SLR)
Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the Imagenet Hierarchy
Alexnet Alone! Architecture . RELU Nonlinearity
A Novel Deep Convolutional Neural Network Architecture Based on Transfer Learning for Handwritten Urdu Character Recognition
Reading Pdfs Using Adversarially Trained Convolutional Neural Network Based Optical Character Recognition
Faceness-Net: Face Detection Through Deep Facial Part Responses
One-To-Many Face Recognition with Bilinear Cnns
Toonnet: a Cartoon Image Dataset and a DNN-Based Semantic Classification System
Imagenet Classification Classification with Deep Convolutional
Learning What and Where to Transfer
Are We Done with Imagenet?
Does Alphago Actually Play Go? Concerning the State Space of Artificial Intelligence ______
A Cost-Effective Method for Improving and Re-Purposing Large, Pre-Trained
Imagenet Classification with Deep Convolutional Neural Networks
Transfer Learning of Imagenet Neural Network for Pigmented Skin Lesion Detection
Imagenet Classification with Deep Convolutional
Approach for Machine-Printed Arabic Character Recognition: The-State-Of-The-Art Deep-Learning Method
Biologically-Plausible Learning Algorithms Can Scale to Large
Public Datasets & Deep Learning Model Repositories
Evaluating Machine Accuracy on Imagenet
Gradaug: a New Regularization Method for Deep Neural Networks
Transfer Learning for Facial Expression Recognition
Building on ILSVRC2012-Winning Alexnet for Tiny Imagenet
Guided Dropout
Do Imagenet Classifiers Generalize to Imagenet?
Machine Learning Approaches to Face Detection and Recognition
Going Deeper in Spiking Neural Networks
Lecture 4: Neural Networks and Backpropagation
Rosetta: Large Scale System for Text Detection and Recognition in Images∗
A Comprehensive Study of Imagenet Pre-Training for Historical
A Survey of the Recent Architectures of Deep Convolutional Neural Networks
Review on Imagenet Classification with Deep Convolutional Neural Networks by Alex Krizhevsky Et
Rethinking Imagenet Pre-Training
Efficientnetv2: Smaller Models and Faster Training
Backpropagation Why Backpropagation
MUSCLE: Strengthening Semi-Supervised Learning Via Concurrent Unsupervised Learning Using Mutual Information Maximization
Evaluation of CNN Models with Fashion MNIST Data
Wavetransform: Crafting Adversarial Examples Via Input Decomposition
Transfer Learning and the Importance of Datasets Application Note
Greedy Layerwise Learning Can Scale to Imagenet
Imagenet Classification with Deep Convolutional Neural Networks
Bag of Tricks for Image Classification with Convolutional Neural Networks
Deep Learning 13.3. Transformer Networks
Lecture 01: Why the Mathematics of Deep Learning? January 10, 2019 Lecturer: Matthew Hirn
Mastering the Game of Go with Deep Neural Networks and Tree Search