Hacker News
- TensorFlow, Keras and deep learning, without a PhD https://codelabs.developers.google.com/codelabs/cloud-tensorflow-mnist/#0 144 comments
- Deep Learning Basics with Python, TensorFlow and Keras https://pythonprogramming.net/introduction-deep-learning-python-tensorflow-keras/ 12 comments
- Learning Deep Learning with Keras – An Overview for Beginners http://p.migdal.pl/2017/04/30/teaching-deep-learning.html 3 comments
- Keras and deep learning on the Raspberry Pi https://www.pyimagesearch.com/2017/12/18/keras-deep-learning-raspberry-pi/ 3 comments
- Benchmarking CNTK on Keras: Is It Better at Deep Learning Than TensorFlow? http://minimaxir.com/2017/06/keras-cntk/ 27 comments
- Learning Deep Learning with Keras http://p.migdal.pl/2017/04/30/teaching-deep-learning.html 2 comments
- SpaCy v1.0: Deep Learning with custom pipelines and Keras https://explosion.ai/blog/spacy-deep-learning-keras 14 comments
- Keras: Theano-Based Deep Learning Library https://github.com/fchollet/keras 7 comments
- Custom deep learning loss functions with Keras for R https://towardsdatascience.com/custom-loss-functions-for-deep-learning-predicting-home-values-with-keras-for-r-532c9e098d1f 2 comments
- How to Get Started with Deep Learning in Python (Keras Tutorial) https://elitedatascience.com/keras-tutorial-deep-learning-in-python 2 comments
- Deep Reinforcement Learning Using Keras and OpenAI Gym https://github.com/coreylynch/async-rl 2 comments
- Keras 1.0 – Python deep learning framework http://blog.keras.io/introducing-keras-10.html 17 comments
- Deep learning for visual question answering: demo with Keras code http://iamaaditya.github.io/2016/04/visual_question_answering_demo_notebook 17 comments
- Keras: Fast Deep Learning Prototyping for Python https://github.com/fchollet/keras/ 25 comments
- Show HN: Spektral – Deep learning on graphs with Keras https://github.com/danielegrattarola/spektral 9 comments
- Distributed Deep Learning with Keras and Horovod https://medium.com/searchink-eng/keras-horovod-distributed-deep-learning-on-steroids-94666e16673d 3 comments
- Democratizing Deep Learning, with keras-pandas https://www.hergertarian.com/democratizing-deep-learning-with-keras-pandas 4 comments learnmachinelearning
- Democratizing Deep Learning, with keras-pandas https://www.hergertarian.com/democratizing-deep-learning-with-keras-pandas 3 comments deeplearning
- Anyone want to team up and work on a Deep Learning Crate for Rust similar to Keras? https://keras.io 45 comments rust
- Deep Learning on Steroids with Keras and Horovod https://medium.com/searchink-eng/keras-horovod-distributed-deep-learning-on-steroids-94666e16673d 5 comments deeplearning
- [R] Silent Bugs in Deep Learning Frameworks: An Empirical Study of Keras and TensorFlow https://arxiv.org/pdf/2112.13314.pdf 28 comments machinelearning
- Detecting COVID-19 in X-ray images with Keras, TensorFlow, and Deep Learning - PyImageSearch https://www.pyimagesearch.com/2020/03/16/detecting-covid-19-in-x-ray-images-with-keras-tensorflow-and-deep-learning/ 89 comments programming
- Deploying deep learning with Keras and Flask https://towardsdatascience.com/deploying-keras-deep-learning-models-with-flask-5da4181436a2 3 comments datascience
- RStudio released an R interface for Keras (i.e. deep learning) https://rstudio.github.io/keras/ 3 comments rstats
- frugally-deep - A header-only library for using Keras models (deep learning) in C++ https://github.com/dobiasd/frugally-deep 26 comments cpp
- Continually updated Data Science Notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), Spark, Hadoop MapReduce, Kaggle, scikit-learn, matplotlib, pandas, NumPy, AWS, Python essentials, and various command lines https://github.com/donnemartin/data-science-notebooks 17 comments programming
- For anyone looking to get into deep learning, I would advise that you consider not learning the behemoth libraries like Tensorflow or Theano, but instead learn how to use a high-level API like Keras. Here's a quick video to explain what it is. Hope I was helpful! https://www.youtube.com/watch?amp%3Bt=2s&v=yMzTrZ3_NIA 6 comments artificial