This video introduces the basic deep learning concepts necessary to both understand the neon™ codebase and build your own deep learning models.
We motivate why recurrent neural networks are important for dealing with sequence data and review LSTMs and GRU architectures.
Explain why convolution and learn the basics about ConvNets and the different types of popular models.
To get started on deep learning with neon, watch this video which explains how to construct models and use our command line arguments to customize training runs.
Join us to dive deep into the field of Deep Learning and focus on Convolutional and Recurrent Neural Networks.
Building and deploying deep learning models holds tremendous potential to revolutionize every industry.
本视频介绍了深度学习的基本概念，这些概念对于了解 neon™ 代码库以及创建深度学习模型至关重要。
我们探索了循环神经网络在处理序列数据时发挥的重要作用及原因，回顾了 LSTM 和 GRU 架构。
本视频介绍了如何创建模型以及如何使用命令行参数自定义训练运行，观看本视频以了解面向 neon 的深度学习。