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Dive into cheap deep learning
Table Of Contents
Getting Started
1. Introduction
1.1. time
1.2. 技术
1.3. 隐私
1.4. money
1.5. Data
2. Lightweight
2.1. Lightweight
2.2. SqueezeNet
2.3. MobileNet
2.4. MobileNet-v2
2.5. ShuffleNet
2.6. GhostNet
3. Compression
3.1. 模型压缩
3.2. 参数剪枝(Pruning)
3.3. Knowledge-Distillation
3.4. 量化
4. Write code
4.1. Jupyter
4.2. API
5. Train
5.1. Server
5.2. Active Learning
5.3. Pretrain
5.4. 改进
5.5. 结构
6. Deployment
6.1. 芯片
6.2. Edge
6.3. mobile
6.4. MCU
6.5. AI 中台
Dive into cheap deep learning
Table Of Contents
Getting Started
1. Introduction
1.1. time
1.2. 技术
1.3. 隐私
1.4. money
1.5. Data
2. Lightweight
2.1. Lightweight
2.2. SqueezeNet
2.3. MobileNet
2.4. MobileNet-v2
2.5. ShuffleNet
2.6. GhostNet
3. Compression
3.1. 模型压缩
3.2. 参数剪枝(Pruning)
3.3. Knowledge-Distillation
3.4. 量化
4. Write code
4.1. Jupyter
4.2. API
5. Train
5.1. Server
5.2. Active Learning
5.3. Pretrain
5.4. 改进
5.5. 结构
6. Deployment
6.1. 芯片
6.2. Edge
6.3. mobile
6.4. MCU
6.5. AI 中台
Index