An accurate and efficient deep learning method for single-cell RNA-seq data imputation
Food Classification with Deep Learning in Keras / Tensorflow
TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.
Reading irctc captchas with 98% accuracy using deep learning
Improving the forecasting accuracy of ENSO through deep learning
Deep learning, Tensorflow, Identify digit from MNIST with more than 99% accuracy