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AlexNet
Lecture 10: Recurrent Neural Networks
Image Retrieval Algorithm Based on Convolutional Neural Network
LSTM-In-LSTM for Generating Long Descriptions of Images
The History Began from Alexnet: a Comprehensive Survey on Deep Learning Approaches
Active Authentication Using an Autoencoder Regularized CNN-Based One-Class Classifier
Key Ideas and Architectures in Deep Learning Applications That (Probably) Use DL
Deep Learning in MATLAB
Path Towards Better Deep Learning Models and Implications for Hardware
Model-Based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction
Data Movement Is All You Need: a Case Study on Optimizing Transformers
Optimizing Alexnet on Tiny Imagenet10
What Is Reinforcement Learning?
Convolutional Neural Networks As a Model of the Visual System: Past, Present, and Future, 2020
Neural Networks & Convolutional Neural Networks
Tuning the Untunable Techniques for Accelerating Deep Learning Optimization
Beyond Short Snippets: Deep Networks for Video Classification
Improving Auto-Encoders' Self-Supervised Image Classification
Deep Augmentation in Convolutional Neural Networks
Top View
Outliernets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection
The Alexnet-Resnet-Inception Network for Classifying Fruit Images
Winner-Take-All Autoencoders
Variational Autoencoder for Deep Learning of Images, Labels and Captions
BERT Is to NLP What Alexnet Is to CV: Can Pre-Trained Language Models Identify Analogies?
Improving Neural Architecture Search with Reinforcement Learning
Introduction to Machine Learning
A Memristor-Based Cascaded Neural Networks for Specific Target
Deep Learning
Evaluation of Basic Convolutional Neural Network, Alexnet and Bag of Features for Indoor Object Recognition
Image Classification by Reinforcement Learning with Two-State Q-Learning
Efficient Processing of Deep Neural Networks: from Algorithms to Hardware Architectures
Training Large DNN Models on Commodity Servers for the Masses
Deep Learning - Alexnet Bernhard Kainz
Analog Signal Processing Solutions and Design of Memristor-Cmos Analog Co-Processor for Acceleration of High-Performance Computing Applications
Carbon Footprint of Machine Learning Algorithms
Learning Transferable Visual Models from Natural Language Supervision
Fully Hardware-Implemented Memristor Convolutional Neural Network
Alexnet Alone! Architecture . RELU Nonlinearity
Evolving a Deep Neural Network Training Time Estimator
Measuring the Algorithmic Efficiency of Neural Networks
Introducing Deep Learning with MATLAB What Is Deep Learning?
Convolutional Long Short-Term Memory Networks for Recognizing
Pruning at a Glance: Global Neural Pruning for Model Compression
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN
A Study on the Clothes Classification Using Alexnet Deep Learning
A Cost-Effective Method for Improving and Re-Purposing Large, Pre-Trained
Efficient Computing for Deep Learning, AI and Robotics
Arxiv:1908.10017V1 [Eess.SP] 27 Aug 2019
Guiding the Long-Short Term Memory Model for Image Caption Generation
CNN Architectures and Visualization Alexnet
4K-Memristor Analog-Grade Passive Crossbar Circuit ✉ H
Neuromorphic Spiking Neural Networks and Their Memristor-CMOS Hardware Implementations
EM Inversion with Deep Learning
Automated Vision-Based Crack Detection on Concrete Surfaces Using Deep Learning
Recurrent Neural Networks (RNN) and Long-Short-Term-Memory (LSTM) 1
Innovation in Machine Intelligence
A Survey of the Recent Architectures of Deep Convolutional Neural Networks
Introducing Deep Learning with MATLAB What Is Deep Learning?
Optimization of a Pre-Trained Alexnet Model for Detecting and Localizing Image Forgeries
Deep Learning Pre-Trained Architecture of Alex Net and Googlenet for DICOM Image Classification P.Haripriya, R.Porkodi
The Study of Noise Effect on CNN-Based Deep Learning from Medical Images
Review on Imagenet Classification with Deep Convolutional Neural Networks by Alex Krizhevsky Et
Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-Scale Image Classification
Small Is the New Big: Designing Compact AI Models for Edge Devices
Towards the Alexnet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data with Gpus∗
ISAAC: a Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars
Bandwidth-Efficient Deep Learning ——From Compression to Acceleration
Memristor-Based Deep Convolution Neural Network: a Case Study
The New Moore's
Pruning Convolution Neural Network (Squeezenet) For
Classification of Heart Sounds with Deep Learning
Machine Learning and Computer Vision Group
Image Classification Using Convolution Neural Network and Comparative Analysis