├── DLD Syllabus Fall 2017.pdf ├── Day1-DeepNetworks.pdf ├── Day2-CNNs.pdf ├── Day3-RNNs.pdf ├── Day4-Optimization.pdf ├── Day5-LinearFactorModels.pdf ├── Day6-Autoencoders.pdf ├── Day7-ProbablisticModels.pdf ├── Day9-DeepGenerativeModels.pdf └── project_descrip.pdf /DLD Syllabus Fall 2017.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mlberkeley/Deep-Learning-Decal-Fall-2017/a20ffb523151b308e6a4e586718a497aa2e75352/DLD Syllabus Fall 2017.pdf -------------------------------------------------------------------------------- /Day1-DeepNetworks.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mlberkeley/Deep-Learning-Decal-Fall-2017/a20ffb523151b308e6a4e586718a497aa2e75352/Day1-DeepNetworks.pdf -------------------------------------------------------------------------------- /Day2-CNNs.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mlberkeley/Deep-Learning-Decal-Fall-2017/a20ffb523151b308e6a4e586718a497aa2e75352/Day2-CNNs.pdf -------------------------------------------------------------------------------- /Day3-RNNs.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mlberkeley/Deep-Learning-Decal-Fall-2017/a20ffb523151b308e6a4e586718a497aa2e75352/Day3-RNNs.pdf -------------------------------------------------------------------------------- /Day4-Optimization.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mlberkeley/Deep-Learning-Decal-Fall-2017/a20ffb523151b308e6a4e586718a497aa2e75352/Day4-Optimization.pdf -------------------------------------------------------------------------------- /Day5-LinearFactorModels.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mlberkeley/Deep-Learning-Decal-Fall-2017/a20ffb523151b308e6a4e586718a497aa2e75352/Day5-LinearFactorModels.pdf -------------------------------------------------------------------------------- /Day6-Autoencoders.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mlberkeley/Deep-Learning-Decal-Fall-2017/a20ffb523151b308e6a4e586718a497aa2e75352/Day6-Autoencoders.pdf -------------------------------------------------------------------------------- /Day7-ProbablisticModels.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mlberkeley/Deep-Learning-Decal-Fall-2017/a20ffb523151b308e6a4e586718a497aa2e75352/Day7-ProbablisticModels.pdf -------------------------------------------------------------------------------- /Day9-DeepGenerativeModels.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mlberkeley/Deep-Learning-Decal-Fall-2017/a20ffb523151b308e6a4e586718a497aa2e75352/Day9-DeepGenerativeModels.pdf -------------------------------------------------------------------------------- /project_descrip.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mlberkeley/Deep-Learning-Decal-Fall-2017/a20ffb523151b308e6a4e586718a497aa2e75352/project_descrip.pdf --------------------------------------------------------------------------------