Скачать или смотреть VGG16 Explained: Layer-by-Layer Architecture in Deep Learning | EP 14

In this video, we’ll decode the VGG16 architecture, one of the most famous Convolutional Neural Networks (CNNs) in deep learning! 🧩

You’ll learn:
✅ What makes VGG16 architecture special
✅ How convolution, pooling, and fully connected layers work together
✅ Why VGG16 uses 3×3 filters and deeper layers
✅ The complete layer-by-layer breakdown of VGG16
✅ Real-world applications of VGG16 (Image Classification, Transfer Learning, etc.)
✅ How VGG16 compares with other CNNs like AlexNet, ResNet, and Inception

By the end, you’ll have a clear visual and conceptual understanding of how VGG16 processes RGB images to make accurate predictions.

Perfect for AI, ML, and Deep Learning enthusiasts who want to master CNN architectures.

🔗 Connect With Me

📸 Instagram: @0xvishal.5

💬 Telegram: Join My ML Community

📧 Email: [email protected]

VGG16 explained, VGG16 architecture, CNN architecture tutorial, VGG16 deep learning, convolutional neural network VGG16, VGG16 vs ResNet, VGG16 transfer learning, VGG16 keras, deep learning architectures, computer vision models

#VGG16 #DeepLearning #CNN #NeuralNetworks #AI #MachineLearning #ComputerVision #Keras #TensorFlow #MLTutorial