[PDF] Top 20 A CONVOLUTIONAL NEURAL NETWORK (CNN) APPROACH TO DETECT FACE USING TENSORFLOW AND KERAS
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A CONVOLUTIONAL NEURAL NETWORK (CNN) APPROACH TO DETECT FACE USING TENSORFLOW AND KERAS
... Using TensorFlow, which is an open-source artificial intelligence library developed by Google, we have studied and compared the effects of multiple activation functions on classification ...developments. ... See full document
7
An Approach for Face Recognition System Using Convolutional Neural Network and Extracted Geometric Features
... easily detect the expressions the indication of faces and facial ...in face expression recognition such as (i) face detection and segmentation from a captured image (ii) extracting the facial ... See full document
5
Automatic Plastic Waste Segregation And Sorting Using Deep Learning Model
... by using multi-modal ...learning approach (DCNN-GPC) for detection and recognition of nuclear waste ...This approach was based on deep learning and also able to detect and categorize unknown ... See full document
5
Identification Of Weeds From Crops Using Convolutional Neural Network
... of network Architecture YannLeCun uses a new architecture which is good at object recognition in image dataset called the Convolutional Neural Network ...The convolutional technique is ... See full document
6
Automatic Detection of Diabetic Retinopathy using R CNN
... DR using color fundus image requires skilled clinicians to identify the presence of critical features which makes this a difficult and time consuming ...(Regional Convolutional Neural Network) ... See full document
6
An Automated System for Identification of Skeletal Maturity using Convolutional Neural Networks Based Mechanism
... the approach followed with each convolutional ...3X3 convolutional layers with 384, 384 and 256 respectively were made to follow the model the strides in this case were ...3X3 convolutional ... See full document
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Patient Risk Assessment and Warning Symptom Detection Using Deep Attention Based Neural Networks
... recurrent neural networks (RNN) has been proposed to solve text classification tasks (Tang et ...integrated approach to assess patient risk and detect warning symptoms simultaneously using an ... See full document
10
1. Efficient face recognition using convolutional neural networks
... for face recognition with Convolutional auto-encoder (CAE) with neural ...The face recognition is the crucial step for many applications like surveillance, access control or human-computer ... See full document
7
Classification And Detection Of Nutritional Deficiencies In Coffee Plants Using Image Processing And Convolutional Neural Network (CNN)
... proposed approach in classifying and identifying the nutritional deficiencies in coffee ...taken using two (2) Logitech ...the Convolutional Neural Network (CNN). The CNN ... See full document
6
TensorFlow and Keras based Convolutional Neural Network in CAT Image Recognition
... learning, convolutional neural networks (CNN) with more hidden layers are able to have more complex network structure, and more powerful feature learning and feature expression than ... See full document
5
Two-phase multi-model automatic brain tumour diagnosis system from magnetic resonance images using convolutional neural networks
... employed CNN and ECOC- SVM approaches for feature extraction and classification, ...evaluated using 349 MRIs extracted from the RIDER Neuro MRI ...evaluated using the BraTS 2013 database, and a DICE ... See full document
10
Human Face Recognition in Video using Convolutional Neural Network (CNN)
... the face from video-based face ...crop face patches from video frame by frame and then to extract the face portion from video frames using an alignment ...the face image, but ... See full document
7
Automatic Facial Expression Recognition using Convolutional Neural Network (CNN)
... We trained and tested the model on the database from FER Kaggle. The data consists of 48x48 pixel grayscale images of faces. The faces have been automatically registered so that the face is more or less centered ... See full document
8
The Performance of Deep Learning Algorithms on Automatic Pulmonary Nodule Detection and Classification Tested on Di erent Datasets That Are Not Derived from LIDC-IDRI: A Systematic Review
... with CNN architecture reached accuracies between ...study using CNN-based algorithms on CT scans from the LIDC-IDRI [50], there was no observed difference in classification ...the CNN-based ... See full document
14
Convolutional Gating Network for Object Tracking
... of CNN to perform the learning of discriminative ...weak CNN trackers from the hierarchical convolution layers are combined with a stronger ...weighted convolutional features (SACF) algorithm to ... See full document
9
Visual landmark sequence based indoor localization
... reliably detect 10 classes of common indoor objects and that second order hidden Markov model can reliably match the detected landmark sequence with the topological ... See full document
10
EEG-Based Emotion Classification By Using Convolutional Neural Network (CNN)
... On the very outset of this report, I would like to express my sincere gratitude to all the people who helped me in completing this final year project. Firstly, I would like to give a special thanks to my supervisor Dr. ... See full document
24
Disease Detection in the Leaves of Multiple Plants
... deep Convolutional Neural Network (CNN) technique is used for the detection and classification of different types of diseases effected to the plant ...The CNN network is trained ... See full document
5
Automatic diagnosis of imbalanced ophthalmic images using a cost-sensitive deep convolutional neural network
... Exploring the effectiveness of the combinations of cost‑sensitive and data‑level methods Since the data-level methods and cost-sensitive are two powerful techniques for address- ing the imbalanced dataset from different ... See full document
20
Phonocardiographic sensing using deep learning for abnormal heartbeat detection
... accurately detect heart abnormalities ...to detect the presence of heart abnormalities and pathological patients are sent home without any ...proposed approach achieved the best result on ... See full document
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