This is part of the CNN Architectures series by Dimitris Katsios. Find all CNN Architectures online: Notebooks: MLT GitHubVideo tutorials: YouTubeSupport MLT on Patreon ShuffleNet We will use the tensorflow.keras Functional API to build ShuffleNet from the original paper: “ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices” by Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin, Jian Sun. ShuffleNet: Video tutorial … Continue reading CNN ARCHITECTURES: SHUFFLENET
Extract the most important information from a CNN paper and learn how to code up the architecture. This time: "Xception: Deep Learning with Depthwise Separable Convolutions"