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- A Hybrid Prognostics Deep Learning Model for Remaining Useful Life Prediction
- Handwritten Digit Recognition by Elastic Matching
- Digit Recognition Based on Specialization, Decomposition and Holistic Processing
- Neural Audio Synthesis of Musical Notes with Wavenet Autoencoders
- Generative Adversarial Simulator
- Explainable Feature Extraction Using a Neural Network with Non-Synaptic Memory for Hand-Written Digit Classification
- Deep Learning with Deep Water
- Supertml: Two-Dimensional Word Embedding for the Precognition on Structured Tabular Data
- Download Article (PDF)
- Using Generative Adversarial Networks to Classify Structural Damage Caused by Earthquakes
- Express Wavenet - a Low Parameter Optical Neural Network with Random Shift Wavelet Pattern
- Handwritten Digit Recognition Using Back Propagation Neural Network& K-Nearest Neighbour Classifier
- CI in PREDICTIVE NEURAL NETWORKS 1 Catastrophic
- Concatenated MNIST (CMNIST). Making 784 Pixels Challenging Again
- Query2vec: an Evaluation of NLP Techniques for Generalized Workload Analytics
- Introduction to Machine Learning
- Identifying Mislabeled Instances in Classification Datasets
- Semantic Predictive Coding with Arbitrated Generative Adversarial Networks
- On Loss Functions for Deep Neural Networks in Classification
- Neural Networks and Search Landscapes for Software Testing
- Identifying Mislabeled Data Using the Area Under the Margin Ranking
- Toonnet: a Cartoon Image Dataset and a DNN-Based Semantic Classification System
- Handwritten Digits Recognition Using SVM, KNN, RF and Deep Learning Neural Networks
- Massively Deep Artificial Neural Networks for Handwritten Digit
- Proceedings of the 2019 USENIX Conference on Operational Machine Learning
- Handwritten Digit Recognition Using Machine Learning
- Toward One-Shot Learning in Neuroscience-Inspired Deep Spiking Neural Networks
- Neural Networks for Machine Learning Lecture 1A Why Do We
- Artificial Intelligence: Separating Hype from Reality
- Public Datasets & Deep Learning Model Repositories
- Lecture 10 Handwritten Digit (MNIST) Recognition Using Deep Neural Networks ELEC801 Pattern Recognition, Fall 2018, KNU Instructor: Gil-Jin Jang
- Recognition of Handwritten Digit Using Convolutional Neural Network in Python with Tensorflow and Comparison of Performance for Various Hidden Layers
- Demonstration Using Teradata SQL Engine
- A Survey of Handwritten Character Recognition with MNIST and EMNIST
- Paper [19] on Similar Typed Data
- Cold Case: the Lost MNIST Digits
- A Comparison of Different Gans for Generating Handwritten Digits On
- Boosting of Neural Networks Over MNIST Data
- Neural Audio Synthesis of Musical Notes with Wavenet Autoencoders
- Combining Reinforcement Learning with Supervised Deep Learning for Neural Active Scene Understanding
- Deep Learning and Transfer Learning Approaches for Image Classification
- Deep Learning with R
- Evolutive Deep Models for Online Learning on Data Streams with No Storage
- Investigation of Unsupervised Learning in Spiking Neural Network Using STDP Rules
- Pacgan: the Power of Two Samples in Generative Adversarial Networks Zinan Lin, Ashish Khetan, Giulia Fanti, and Sewoong Oh, Member, IEEE
- Deep Learning for Handwritten Digits Recognition Using MATLAB Toolbox
- A Developmental Neuro-Robotics Approach for Boosting the Recognition of Handwritten Digits
- Towards the Alexnet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data with Gpus∗
- Evaluating the Coevolution Effect in Generative Adversarial Networks
- Porting a Deep Convolutional Generative Adversarial Network on Imx8mmini with Eiq Rev
- CNN-Based Recognition of Handwritten Digits in MNIST Database
- Generative Adversarial Networks for Diverse and Limited Data
- A Simultaneous Low Resolution and Off-Pose Angle Face Matching
- Wavetransform: Crafting Adversarial Examples Via Input Decomposition
- Deep Learning and Sensitivity with MNIST Dataset Ankur Vazirani
- Insidebias: Measuring Bias in Deep Networks and Application to Face Gender Biometrics
- Handwritten Digit Recognition: Hyperparameters-Based Analysis
- Handwritten Digits Recognition Using Machine Learning