Convolutional Neural Networks (CNNs) Architectures for Large Datasets Video

Convolutional Neural Networks (CNNs) Architectures for Large Datasets Video

Objectives:

1. Become proficient with the AlexNet Convolutional Neural Network (CNN) architecture. The most popular CNN architectures are introduced including AlexNet, ZF-Net, VGG, Resnet, Inception, Inception-Resnets, and Mobilenets.
2. Implement the AlexNet CNN.
3. Become proficient with the ZFNet and VGG Convolutional Neural Network (CNN) architectures.
4. Master GoogleNet and the Inception Module.
5. Practice the practical aspects of image data augmentation.

Instructor: Advait Jayant

Length: 1 hour

Access period: For one year starting from purchase date