TensorFlow entry must see
- Google AI Internship Experience
- TensorFlow combat: Neural Style
- TensorFlow practiced hand Item three: Use VGG19 achieve image transfer learning style migration
- Tensorflow achieve Picture Style migration
- Tensorflow achieve Neural Style style image transfer
- Style behind the principle of transfer and achieve tensorflow
TensorFlow-gpu
- Tensorflow different versions of the requirements of the correspondence between the version of CUDA and CUDNN
- Compiling from source TensorFlow pip package and install it on a Windows device
- Compiling from source TensorFlow pip package and install it on Ubuntu Linux and macOS
- On Windows systems the installation instructions CUDA Toolkit
- Deep learning configuration CUDA8.0 / 9.0 and the corresponding version Installation cuDNN
- NVIDIA cuDNN Archive
- tensorflow installation GPU version, personal summary
- Windows10 + tensorflow-gpu environment to build
Other more articles
- A Neural Algorithm of Artistic Style
- VGG实现《A Neural Algorithm of Artistic Style 》
- Neural Style paper notes + source code parsing
- Depth study [] A neural algorithm of artistic style algorithm Detailed
- Conversion is based on image depth learning style
- TURN ANY PHOTO INTO AN ARTWORK
- CNN use to make image conversion + style code implementation
- A brief history of migration picture style (Neural Style)
- Neural Algorithm of Artistic Style
- 【译】A Neural Algorithm Artistic Style
- Study Notes: Migration style image
- 【译】 Perceptual Losses for Real-Time Style Transfer and Super-Resolution
- 【译】Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
- Depth study and practice: Use Tensorflow style fast migration
- Depth interesting | 04 images migrate style
- keras program analysis sample (2): Image transfer Style
- TensorFlow combat -CNN (VGGNet19) style image conversion
- An Introduction to Implementing Neural Networks using TensorFlow
- keras series ︱Application trained in five models, VGG16 reading frame (Sequential type, Model type) (ii)
- Keras run prisma Notes (Windows)
- Three deep learning framework (comparative)
- VGG using the object recognition in Keras
- tensorflow practice (vi) the next python3 VGG16 / VGG19 explore
- VGG16 and VGG19 Introduction
- TensorFlow the command-line arguments detailed
Reproduced in: https: //www.jianshu.com/p/c5905614ae55