Lectures related to DeepDream | EPFL Graph Search

Presents a new approach for fast, deep, and large area detection using multispot multiphoton microscopy.

Explores error function landscape, optimization methods, and deep neural networks for classification.

Discusses the problem of overfitting in deep networks and the importance of controlling flexibility to avoid it.

Explores the regularized cross-entropy risk in neural networks, covering training processes and challenges in deep networks.

Covers transgenic mice using Cre-lines and optogenetics, exploring neural cell manipulation techniques and brain region-specific gene expression.

Provides insights on gradient-based algorithms, deep learning mysteries, and the challenges of non-convex problems.