The entire history of Computer Vision explained one core concept at a time.

In this video, we are going to go through the history of CNNs specifically for Image Classification tasks – starting from those early research years, to the golden era of the mid 2010s when many of the most genius Deep Learning architectures ever were conceived, and finally discuss the latest trends in CNN research now as they compete with attention and vision-transformers. Members can now access the full write-up, all the animations, powerpoint slides, and more side-content from this video! Visit the Patreon link to see what is available: https://www.patreon.com/NeuralBreakdownwithAVB Medium article: https://medium.com/@neural.avb/the-history-of-convolutional-neural-networks-for-image-classification-1989-today-5ea8a5c5fe20 Buy me a coffee at https://ko-fi.com/neuralavb ! #ai #machinelearning #deeplearning Checkout the entire NLP History video here: https://youtu.be/uocYQH0cWTs Related videos: Attention Series: https://www.youtube.com/watch?v=frosrL1CEhw&list=PLGXWtN1HUjPfK_n9j5tPZ_a6Rx3yceZ_B Latent Space: https://youtu.be/FslFZx08beM CNNs: https://youtu.be/kebSR2Ph7zg Paper links: CNN with Backprop (1989): http://yann.lecun.com/exdb/publis/pdf/lecun-89e.pdf LeNet-5: http://vision.stanford.edu/cs598_spring07/papers/Lecun98.pdf AlexNet: https://proceedings.neurips.cc/paper_files/paper/2012/file/c399862d3b9d6b76c8436e924a68c45b-Paper.pdf GoogleNet: https://arxiv.org/abs/1409.4842 VGG: https://arxiv.org/abs/1409.1556 Batch Norm: https://arxiv.org/pdf/1502.03167 ResNet: https://arxiv.org/abs/1512.03385 DenseNet: https://arxiv.org/abs/1608.06993 MobileNet: https://arxiv.org/abs/1704.04861 MobileNet-V2: https://arxiv.org/abs/1801.04381 Vision Transformers: https://arxiv.org/abs/2010.11929 ConvNext: https://arxiv.org/abs/2201.03545 Other interesting papers not covered in the video: EfficientNet: https://arxiv.org/abs/1905.11946 Squeeze-and-Excitation Network: https://arxiv.org/abs/1709.01507 Swin Transformers: https://arxiv.org/abs/2103.14030 Timestamps: 0:00 - Intro 1:17 - Visualizing CNNs 3:12 - 1989 5:00 - 1998 - LeNet 5 6:07 - The 2000s 7:37 - 2012 - AlexNet 9:45 - 2014 - GoogLeNet and Inception Module 11:49 - 2014 - VGG 12:30 - 2015 - Batch Normalization 13:04 - 2015 - Residual Network 14:46 - 2016 - DenseNet 15:22 - 2017 - MobileNet 16:19 - 2018 - MobileNet V2 17:31 - 2020 - Vision Transformer 19:15 - 2022 - ConvNext 20:50 - Outro