├── 02_Probabilities.pdf ├── 03_Standard_Distributions.pdf ├── 04_Single_Layer_Networks_Regression.pdf ├── 05_Single_Layer_Networks_Classification.pdf ├── 11_Structured_Distributions.pdf ├── 12_Transformers.pdf ├── 13_Graph_Neural_Networks.pdf ├── 14_Sampling.pdf ├── 19_Variational_Autoencoders.pdf ├── 20_Diffusion_Models.pdf ├── LICENSE └── README.md /02_Probabilities.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dariokonopatzki/Deep-Learning-Foundations-and-Concepts-Solutions/HEAD/02_Probabilities.pdf -------------------------------------------------------------------------------- /03_Standard_Distributions.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dariokonopatzki/Deep-Learning-Foundations-and-Concepts-Solutions/HEAD/03_Standard_Distributions.pdf -------------------------------------------------------------------------------- /04_Single_Layer_Networks_Regression.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dariokonopatzki/Deep-Learning-Foundations-and-Concepts-Solutions/HEAD/04_Single_Layer_Networks_Regression.pdf -------------------------------------------------------------------------------- /05_Single_Layer_Networks_Classification.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dariokonopatzki/Deep-Learning-Foundations-and-Concepts-Solutions/HEAD/05_Single_Layer_Networks_Classification.pdf -------------------------------------------------------------------------------- /11_Structured_Distributions.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dariokonopatzki/Deep-Learning-Foundations-and-Concepts-Solutions/HEAD/11_Structured_Distributions.pdf -------------------------------------------------------------------------------- /12_Transformers.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dariokonopatzki/Deep-Learning-Foundations-and-Concepts-Solutions/HEAD/12_Transformers.pdf -------------------------------------------------------------------------------- /13_Graph_Neural_Networks.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dariokonopatzki/Deep-Learning-Foundations-and-Concepts-Solutions/HEAD/13_Graph_Neural_Networks.pdf -------------------------------------------------------------------------------- /14_Sampling.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dariokonopatzki/Deep-Learning-Foundations-and-Concepts-Solutions/HEAD/14_Sampling.pdf -------------------------------------------------------------------------------- /19_Variational_Autoencoders.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dariokonopatzki/Deep-Learning-Foundations-and-Concepts-Solutions/HEAD/19_Variational_Autoencoders.pdf -------------------------------------------------------------------------------- /20_Diffusion_Models.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dariokonopatzki/Deep-Learning-Foundations-and-Concepts-Solutions/HEAD/20_Diffusion_Models.pdf -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dariokonopatzki/Deep-Learning-Foundations-and-Concepts-Solutions/HEAD/LICENSE -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dariokonopatzki/Deep-Learning-Foundations-and-Concepts-Solutions/HEAD/README.md --------------------------------------------------------------------------------