General Information:

MASTERS DEGREE

Level

Transfer Learning Applied to Algerian Gastronomy Images Recognition

Title

software engineering

Specialty


Cover Page:

Transfer Learning Applied to Algerian Gastronomy Images Recognition

Outline:

General introduction Chapter I: Artificial Vision Introduction What is an image? Digital images: Acquiring an image Image features Pixels Resolution Dimension RGB Contrast Histogram (Grayscale) Image processing Historical The Different Possible Transformations on the Digital Image A. Image Processing B. Image Analysis C. Image High-level Description D. Image Reconstruction Image processing system Preprocessing system Image segmentation Computer vision Image recognition Conclusion Chapter II: Artificial Intelligence and Machine Learning Introduction Artificial Intelligence Definition History of Artificial Intelligence What is Artificial Intelligence Types of Artificial Intelligence Why uses AI? Application of AI Machine Learning Definition Unsupervised learning Clustering Supervised learning Classification Regression: Semi-supervised learning Reinforcement Learning Artificial Neural network Definition Artificial Neural Networks (ANN) VS Biological Neural Networks (BNN): Biological Neural Networks How Do Neural Networks Work? Neural network types Recurrent Neural Network (RNN) Multilayer Perceptron (MLP) Convolutional Neural Network (CNN) Convolutional Layers: ReLu Layer: Sigmoid Function Pooling Layers: Fully Connected Layers: Deep Learning Definition Deep Neural Network Advanced techniques in deep neural networks Inception (GoogLeNet) VGGNet ResNet: Transfer Learning Optimization Algorithms Gradient Descent: Stochastic Gradient Descent (SGD): AdaGrad: RMSProp: Adam Optimizer: Conclusion Chapter III: Related work (state of art) introduction Hokuto Kagaya et al Article Pishva and al article: Taichi Joutou & Keiji Yanai article general comparison Conclusion Chapter IV: implementation and experiments Introduction Software and libraries Used in the implementation Python Google colab Navigator Anaconda Visual Studio Code Keras TensorFlow Scikit-learn OpenCV NumPy Flask database used Our database Food Images (Food-101) Architecture of our network Model Vgg16 VGG16 Architecture Model inception v3 Inception V3 architecture ResNet ResNet Architecture Results obtained and discussion Results obtained for Vgg16 Results obtained for inception V3 Results obtained for ResNet


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