Manipulate Gradient The section includes some technologies related to gradient descent optimization method. Gradient Clipping A good explanation: What is Gradient Clipping? Related paper: Why Gradient Clipping Accelerates Training: A…
Outline In this presentation, we present the DNN and CNN structure We briefly shows some famous CNN works (structure, improvements, performance) Difficulty of training DNN and shows a good solution…
Content In the document, we present: Each neural network (NN) consists of many neurons, and each neuron has two elements: linear function and activation function. We have shown the reason…
Outline Introduction Style transfer Content-perceptual loss Style-perceptual loss Example Proposed Method (simple but inspirational) Arbitrary style transfer Meta networks for arbitrary style transfer Experiments Conclusion Slides
Prepare the environment of the experiment control Tutorial from https://shenxiaohai.me/2019/01/17/sacred-tool/ Installation To install Sacred at client (t.g. conda environment) pip install sacred pip install numpy pymongo Server: database # 1.…