Materias:

Tabla de Contenidos: “…Naturaleza ambigua: pareidolia…”

Tabla de Contenidos: “…-- Transfer learning - application to the IMDB dataset -- Training on the full IMDB dataset with Word2vec embeddings -- Creating document summaries with CNN model -- Multiclass classification with the CNN model -- Visualizing document embeddings -- Summary -- Chapter 8: Audio Event Identification and Classification -- Understanding audio event classification -- Formulating our real-world problem -- Exploratory analysis of audio events -- Feature engineering and representation of audio events -- Audio event classification with transfer learning -- Building datasets from base features -- Transfer learning for feature extraction -- Building the classification model -- Evaluating the classifier performance -- Building a deep learning audio event identifier -- Summary -- Chapter 9: DeepDream -- Introduction -- Algorithmic pareidolia in computer vision -- Visualizing feature maps -- DeepDream -- Examples -- Summary -- Chapter 10: Style Transfer -- Understanding neural style transfer -- Image preprocessing methodology -- Building loss functions -- Content loss -- Style loss -- Total variation loss -- Overall loss function -- Constructing a custom optimizer -- Style transfer in action -- Summary -- Chapter 11: Automated Image Caption Generator -- Understanding image captioning -- Formulating our objective -- Understanding the data -- Approach to automated image captioning -- Conceptual approach -- Practical hands-on approach -- Image feature extractor - DCNN model with transfer learning…”