This is a Machine Learning Tokyo workshop series providing hands-on educational material for deep learning. The curriculum covers convolution operations and implementations of major CNN architectures including AlexNet, VGG, Inception, MobileNet, ResNet, DenseNet, YOLO, and others using Keras. The material includes Jupyter notebooks for interactive learning along with accompanying YouTube video lectures explaining the implementations and concepts.