1
Deep Reinforcement Learning
2
Theoretical Understanding of Convolutional Neural Network: Concepts, Architectures, Applications, Future Directions
3
What Does ChatGPT Say: The DAO from Algorithmic Intelligence to Linguistic Intelligence
4
Chat With ChatGPT on Intelligent Vehicles: An IEEE TIV Perspective
5
Building a Natural Language Processing Model to Extract Order Information from Customer Orders for Interpretative Order Management
6
Deep Residual Learning for Image Recognition: A Survey
7
Evaluation of the Deep Learning-Based m-Health Application Using Mobile App Development and Assessment Guide
8
Generative Adversarial Networks
9
Deep Learning for Mobile Mental Health: Challenges and recent advances
10
UbiEi-Edge: Human Big Data Decoding Using Deep Learning on Mobile Edge
11
Machine Learning Algorithms and Applications
12
Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions
13
Machine Learning in Agriculture: A Comprehensive Updated Review
14
Machine learning and deep learning
15
Machine Learning: Algorithms, Real-World Applications and Research Directions
16
Machine Learning for Robotic Manipulation
17
A reinforcement learning and deep learning based intelligent system for the support of impaired patients in home treatment
18
Review of tool condition monitoring in machining and opportunities for deep learning
19
Deep learning in finance and banking: A literature review and classification
20
Machine learning for structural health monitoring: challenges and opportunities
21
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
22
CNN Architectures: Alex Net, Le Net, VGG, Google Net, Res Net
23
A Smart Dental Health-IoT Platform Based on Intelligent Hardware, Deep Learning, and Mobile Terminal
24
Deep Learning Techniques: An Overview
25
Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python
26
PyTorch: An Imperative Style, High-Performance Deep Learning Library
27
Supervised Determined Source Separation with Multichannel Variational Autoencoder
28
Deep Learning for Natural Language Processing
29
Review of Deep Learning Algorithms and Architectures
30
Optimization Models for Machine Learning: A Survey
31
Deep Learning on Graphs: A Survey
32
ETHICAL FRAMEWORK FOR MACHINE LEARNING
33
Gaussian Mixture Models
34
Machine Learning: An Ethical, Social & Political Perspective
35
Analysis on Gradient Propagation in Batch Normalized Residual Networks
36
Multi-spectral Imaging for Robust Ocular Biometrics
37
Linear regression analysis study
38
An overview of the supervised machine learning methods
39
A GPU deep learning metaheuristic based model for time series forecasting
40
Deep Reinforcement Learning: A Brief Survey
41
Supervised Machine Learning Algorithms: Classification and Comparison
42
Assessing face image quality for smartphone based face recognition system
43
Neural Collaborative Filtering
44
Variational Autoencoder for Semi-Supervised Text Classification
45
Deep Reinforcement Learning: An Overview
46
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.
47
Machine Learning: Algorithms and Applications
48
Applications of Deep Learning in Biomedicine.
49
Variational Autoencoders for Semi-supervised Text Classification
50
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
51
Asynchronous Methods for Deep Reinforcement Learning
52
Mastering the game of Go with deep neural networks and tree search
53
Deep Convolutional Neural Networks for pedestrian detection
54
Deep Reinforcement Learning with Double Q-Learning
55
Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning
56
AutoRec: Autoencoders Meet Collaborative Filtering
57
Deep learning applications and challenges in big data analytics
58
Can Deep Learning Revolutionize Mobile Sensing?
59
How transferable are features in deep neural networks?
60
Deep Learning of Image Features from Unlabeled Data for Multiple Sclerosis Lesion Segmentation
61
Coooolll: A Deep Learning System for Twitter Sentiment Classification
62
Early diagnosis of Alzheimer's disease with deep learning
63
Deep Learning: Methods and Applications
64
Deep learning in neural networks: An overview
65
A tutorial survey of architectures, algorithms, and applications for deep learning
66
Neural Networks and Statistical Learning
67
Manifold Learning of Brain MRIs by Deep Learning
68
Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network
69
Hybrid Deep Neural Network--Hidden Markov Model (DNN-HMM) Based Speech Emotion Recognition
70
ImageNet classification with deep convolutional neural networks
71
Continuous Space Translation Models for Phrase-Based Statistical Machine Translation
72
Scikit-learn: Machine Learning in Python
73
High-Performance Neural Networks for Visual Object Classification
74
Deep Machine Learning - A New Frontier in Artificial Intelligence Research [Research Frontier]
76
Support vector machines
77
Restricted Boltzmann machines for collaborative filtering
78
A Fast Learning Algorithm for Deep Belief Nets
79
TensorFlow: A Guide to Build Artificial Neural Networks Using Python Build Artificial Neural Networks Using TensorFlow Library with Detailed Explanation of Each Step and Line of Code
80
Advanced Machine Learning Technologies and Applications - Proceedings of AMLTA 2021, Cairo, Egypt, March 22-24, 2021
81
Introduction to Natural Language Processing and Deep Learning
82
An Introduction to Machine Learning
84
Chapter 7 – Unsupervised deep learning: A short review
85
Advanced Machine Learning Technologies and Applications
86
Data Mining: Concepts and Techniques ; Morgan Kaufmann: Waltham, MA, USA,
87
Neural Networks and Learning Machines ; Pearson Education USA: Upper Saddle River, NJ, USA
88
Learning Deep Architectures for AI
89
Gradient-based learning applied to document recognition
