index deep learninglimitations of (continuedrisk of anthropomorphizing machine-learning models - overview - - possible uses of - reasons for interest in - see also generative deep learning deep learning amiec deepdream technique - overview implementing in keras - deepmindgoogle dense layers - dense sampling densely connected networks - depthwise separable convolution derivativesdefined - developer accountnvidia digital assistants dimension dimensionality directed acyclic graphs of layers - inception modules - residual connections - discriminator networks overview implementing - distance function dot operations - dot product downloading glove word embeddings raw text dropout layer dtype attribute - earlystopping callbacks eckdouglas editing imagesconcept vectors for - eigen element-wise operations - embedding layerslearning word embeddings with - engineering features - ensembling models - epochs epsilon evaluating models - evaluation protocolschoosing expert systems extreme generalizationlocal generalization vs - extreme inception feature engineering feature learning - feature maps features engineering - extracting - with data augmentation - without data augmentation - features axis feedforward networks feynmanrichard fill_mode filter visualizations filters overview convnetsvisualizing - fine-tuning - fit method fit_generator method flatten layer flickr float for loop forward pass freezing layers fully connected layers functional apiskeras - directed acyclic graphs of layers - layer weight sharing - models as layers - multi-input models - multi-output models - licensed to galyarin gans (generative adversarial networks gated recurrent unit layers see gru layers gatysleon gaussian distribution generalization - generative deep learning generating images with variational autoencoders - concept vectors for image editing - sampling from latent spaces of images - generating text with lstm - generating sequence data history of generative recurrent networks implementing characterlevel lstm text generation - sampling strategy - generative adversarial networks - adversarial networks discriminator networks - generator networks - schematic implementation of training dcgans - neural style transfer - content loss in keras - style loss - generative deep learningdeepdream - generative recurrent networkshistory of generator function generator networksimplementing - geometric interpretation of deep learning - of tensor operations - geometric space