A Comprehensive Introduction to Different Types of Convolutions in Deep Learning
Towards intuitive understanding of convolutions through visualizations 如果您在深度學習中聽說過不同類型的卷積（例如2D / 3D / 1x1 /轉置/擴張（Atrous）/空間可分離/可深度分離/平展/分組/混洗分組卷積），並且混淆了它們實際意味着什麼 ，這篇文章是爲了解你的實際工作而編寫的。 在本文中，我總結了深度學習中常用
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相關文章
- 1. Neuroevolution: A different kind of deep learning
- 2. Comprehensive Introduction to Apache Spark
- 3. Fundamentals of Deep Learning – Introduction to Recurrent Neural Networks
- 4. Different Types of Switches in Networking
- 5. Essentials of Deep Learning : Introduction to Long Short Term Memory
- 6. Assignment | 01-week1-Introduction to deep learning
- 7. translation of 《deep learning》 Chapter 1 Introduction
- 8. Brief Introduction of Deep Learning
- 9. FPGA in deep learning: introduction
- 10. Gentle Introduction to the Adam Optimization Algorithm for Deep Learning