10_Deep Generative Models.pdf
43.7 MB
اسلاید ها
DL_Beygi_TA.zip
323.3 MB
ویدیوهای درس
❤3
1. Introduction
Natural Neural Networks
Artificial NNs and Applications
Architectures, Activation Functions and Learning in ANNs
Mcculloch & Pitz Neuron
2. Fully Connected Neural Networks
Linear Perceptron, AdaLine and MadaLine
Multi-Layer Perceptron (MLP)
Auto-encoders and Restricted Boltzmann Machine
Deep belief networks
3. Convolutional Neural Networks (CNNs)
Convolutional Neural Networks (CNNs)
Developments and Techniques in CNNs
Some popular Architectures (AlexNet, VGG, ResNet, Inception, MobileNet, DenseNet, and EfficientNet)
4. Region based CNNs
CNNs for Object Detection (RCNN, Mask RCNN, YOLO,...)
CNNs for Object Segmentation (UNet, Mask RCNN, ...)
〰〰〰〰〰
🆔 @ComputerReference
Natural Neural Networks
Artificial NNs and Applications
Architectures, Activation Functions and Learning in ANNs
Mcculloch & Pitz Neuron
2. Fully Connected Neural Networks
Linear Perceptron, AdaLine and MadaLine
Multi-Layer Perceptron (MLP)
Auto-encoders and Restricted Boltzmann Machine
Deep belief networks
3. Convolutional Neural Networks (CNNs)
Convolutional Neural Networks (CNNs)
Developments and Techniques in CNNs
Some popular Architectures (AlexNet, VGG, ResNet, Inception, MobileNet, DenseNet, and EfficientNet)
4. Region based CNNs
CNNs for Object Detection (RCNN, Mask RCNN, YOLO,...)
CNNs for Object Segmentation (UNet, Mask RCNN, ...)
〰〰〰〰〰
🆔 @ComputerReference