دورة الشبكات العصبية العميقة

المصدر: Ahmed Yousry

• Introduction to deeplearning Course مقفل 18 د
• Vanishing , Exploding problems and solutions. مقفل 15 د
• Batch Normalization, Batch Gradient Descent, Stochastic GD and mini Batch GD. مقفل 24 د
• Faster Optimization Techniques مقفل 22 د
• Convolutional Neural Network CNN- الشبكات العصبية الملتفة مقفل 15 د
• Learning Rate Methods , Regularization Techniques مقفل 11 د
• Transfer Learning , Understanding VGG,ResNet, MobileNet , AlexNet مقفل 23 د
• Fine Tuning VGG16 on Custom Data مقفل 17 د
• CNN Example Part 1 - مثال تصنيف جبال واشجار وجليد باستخدام الشبكات العصبية الملتفة مقفل 21 د
• CNN Example Part 2 مقفل 11 د
• Fine tuning MobileNet V2 on custom data مقفل 6 د
• AlexNet from scratch on custom data مقفل 16 د
• Complete project of stroke classifcation using transfer learning models. مقفل 50 د
• Stock price prediction with LSTM (RNN) عربى مقفل 33 د
• Understanding Auto Encoder عربى مقفل 26 د
• project : Denoising dentists using autoencoder عربى مقفل 21 د
• Project: Denoising brain tumor using Autoencoder عربى مقفل 16 د
• Simple Autoencoder project on Mnist dataset عربى مقفل 12 د
• Understanding GANs: Generative Adversarial Networks مقفل 32 د
• Transfer learning Theory شرح تفصيلى مقفل 45 د
• DNN optimization Concepts (Weight initialization, regularization, Callbacks) مقفل 20 د
• DNN optimization (Lamda , Concatinate layers, Adavanced TL models, Depthwise separable convolution) مقفل 39 د
• XAI Explainable AI Techniques (Grad-CAM , LIMe) مقفل 30 د
• Implementation of XAI (Grad CAM and LIME) with explanation مقفل 22 د