State of the Art Convolutional Neural Networks (CNNs) Explained | Deep Learning in 2020 скачать в хорошем качестве

State of the Art Convolutional Neural Networks (CNNs) Explained | Deep Learning in 2020

Support my work on Patreon:   / whatsai   Complete Article:►   / state-of-the-art-convolutional-neural-netw...   I introduce what a convolutional neural network is and explain one of the best and most used state-of-the-art CNN architecture in 2020: DenseNet. If you would like me to cover any other neural network architecture or research paper, please let me know in the comments! References: DenseNet paper:► https://arxiv.org/pdf/1608.06993.pdf DenseNet on github:► https://github.com/liuzhuang13/DenseNet Follow me for more AI content: ►Subscribe to my newsletter: http://eepurl.com/huGLT5 ►Instagram:   / whats_ai   ►LinkedIn:   / whats-ai   ►Twitter:   / whats_ai   ►Facebook:   / whats.artificial.intelligence   ►Medium:   / whats_ai   The best courses in AI: ►https://www.omologapps.com/whats-ai Join Our Discord channel, Learn AI Together: ►  / discord   Chapters: 0:00 Hey! Tap the Thumbs Up button and Subscribe. You'll learn a lot of cool stuff, I promise. 0:18 The Convolutional Neural Networks 0:39 A … convolution? 2:07 Training a CNN 2:45 The activation function: ReLU 3:20 The pooling layers: Max-Pooling 4:05 The fully-connected layers 4:40 The state-of-the-art CNNs: A quick history 5:23 The most promising CNN architecture: DenseNet 8:39 Conclusion Song credit:   / sans-titre   #CNN #DenseNet #DeepLearning