My Artificial Intelligence Bookmarks

Curated list of my reads, implementations and core concepts of Artificial Intelligence, Deep Learning, Machine Learning by best folk in the world.

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2018-2019

• <DT><A HREF="https://deeplearningsandbox.com/how-to-use-transfer-learning-and-fine-tuning-in-keras-and-tensorflow-to-build-an-image-recognition-94b0b02444f2"> How to use transfer learning and fine-tuning in Keras and Tensorflow to build an image recognition… </A>
• <DT><A HREF="https://medium.com/towards-data-science/how-to-deploy-machine-learning-models-with-tensorflow-part-1-make-your-model-ready-for-serving-776a14ec3198"> How to deploy Machine Learning models with TensorFlow. Part 1 — make your model ready for serving. </A>
• <DT><A HREF="https://www.scaler.com/blog/machine-learning/#methods-of-machine-learning"> Methods of Machine Learning - Scaler Blogs </A>
• <DT><A HREF="https://github.com/manena/image-classification-indoors-outdoors/blob/master/image-classification.ipynb"> image-classification-indoors-outdoors/image-classification.ipynb at master · manena/image-classification-indoors-outdoors </A>
• <DT><A HREF="https://www.youtube.com/watch?v=xL-GKD49FXs"> (620) Learning to Communicate with Deep Multi-Agent Reinforcement Learning - Jakob Foerster - YouTube </A>
• <DT><A HREF="http://machinethink.net/blog/compressing-deep-neural-nets/"> Compressing deep neural nets </A>
• <DT><A HREF="https://eng.uber.com/neural-networks/"> Engineering Extreme Event Forecasting at Uber with Recurrent Neural Networks - Uber Engineering Blog </A>
• <DT><A HREF="http://www.pietervanos.net/knowledge/start-python-script-from-init-d/"> Run python script from init.d </A>
• <DT><A HREF="https://stackoverflow.com/questions/17747605/daemon-vs-upstart-for-python-script"> Daemon vs Upstart for python script - Stack Overflow </A>
• <DT><A HREF="https://www.oreilly.com/ideas/reinforcement-learning-for-complex-goals-using-tensorflow"> Reinforcement learning for complex goals, using TensorFlow - O'Reilly Media </A>
• <DT><A HREF="https://spectrum.ieee.org/computing/networks/blockchains-how-they-work-and-why-theyll-change-the-world"> Blockchains: How They Work and Why They’ll Change the World - IEEE Spectrum </A>
• <DT><A HREF="http://janlosert.com/NET292-profile.pdf"> NET292.profile.indd </A>
• <DT><A HREF="http://www.inference.vc/my-notes-on-the-numerics-of-gans/?utm_campaign=Revue%20newsletter&utm_medium=Newsletter&utm_source=The%20Wild%20Week%20in%20AI"> GANs are Broken in More than One Way: The Numerics of GANs </A>
• <DT><A HREF="https://www.youtube.com/watch?v=hvIptUuUCdU"> (74) Stanford Seminar - "Deep Learning for Dummies" Carey Nachenberg of Symantec and UCLA CS - YouTube </A>
• <DT><A HREF="https://hackernoon.com/fast-ai-what-i-learned-from-lessons-1-3-b10f9958e3ff"> Fast.ai: What I Learned from Lessons 1–3 – Hacker Noon </A>
• <DT><A HREF="https://eng.uber.com/horovod/"> Meet Horovod: Uber's Open Source Distributed Deep Learning Framework </A>
• <DT><A HREF="http://www.anishathalye.com/"> Home · cat /var/log/life </A>
• <DT><A HREF="https://www.kaggle.com/huseinzol05/2d-3d-visualization-using-nce-cost"> 2D & 3D Visualization using NCE Cost | Kaggle </A>
• <DT><A HREF="https://www.quantamagazine.org/new-theory-cracks-open-the-black-box-of-deep-learning-20170921/"> New Theory Cracks Open the Black Box of Deep Learning | Quanta Magazine </A>
• <DT><A HREF="https://distill.pub/2017/feature-visualization/"> Feature Visualization </A>
• <DT><A HREF="https://software.intel.com/en-us/articles/face-it-the-artificially-intelligent-hairstylist?utm_source=taboola&utm_medium=referral&utm_campaign=AI_Student_ASMO_Q4_2017_Media_Buy"> Face It – The Artificially Intelligent Hairstylist | Intel® Software </A>
• <DT><A HREF="https://opensource.com/article/17/11/intro-tensorflow?sc_cid=7016000000127ECAAY"> What is TensorFlow? | Opensource.com </A>
• <DT><A HREF="https://medium.com/@surmenok/estimating-optimal-learning-rate-for-a-deep-neural-network-ce32f2556ce0"> Estimating an Optimal Learning Rate For a Deep Neural Network – Medium </A>
• <DT><A HREF="https://medium.com/@pechyonkin/understanding-hintons-capsule-networks-part-i-intuition-b4b559d1159b"> Understanding Hinton’s Capsule Networks. Part I: Intuition. </A>
• <DT><A HREF="https://hackernoon.com/capsule-networks-are-shaking-up-ai-heres-how-to-use-them-c233a0971952"> Capsule Networks Are Shaking up AI — Here’s How to Use Them </A>
• <DT><A HREF="https://research.googleblog.com/2017/10/eager-execution-imperative-define-by.html"> Research Blog: Eager Execution: An imperative, define-by-run interface to TensorFlow </A>
• <DT><A HREF="https://medium.com/intuitionmachine/google-and-ubers-best-practices-for-deep-learning-58488a8899b6"> Google and Uber’s Best Practices for Deep Learning – Intuition Machine – Medium </A>
• <DT><A HREF="https://blog.acolyer.org/2017/10/03/tfx-a-tensorflow-based-production-scale-machine-learning-platform/"> TFX: A TensorFlow-based production scale machine learning platform | the morning paper </A>
• <DT><A HREF="https://www.kaggle.com/pmarcelino/comprehensive-data-exploration-with-python"> Comprehensive data exploration with Python | Kaggle </A>
• <DT><A HREF="https://www.dlology.com/blog/an-easy-guide-to-build-new-tensorflow-datasets-and-estimator-with-keras-model/"> An Easy Guide to build new TensorFlow Datasets and Estimator with Keras Model | DLology </A>
• <DT><A HREF="http://amid.fish/distributed-tensorflow-a-gentle-introduction"> Distributed TensorFlow: A Gentle Introduction </A>
• <DT><A HREF="https://developers.googleblog.com/2017/09/introducing-tensorflow-datasets.html"> Google Developers Blog: Introduction to TensorFlow Datasets and Estimators </A>
• <DT><A HREF="https://developers.googleblog.com/2017/11/introducing-tensorflow-feature-columns.html?m=1"> Google Developers Blog: Introducing TensorFlow Feature Columns </A>
• <DT><A HREF="https://tensorly.github.io/stable/user_guide/index.html"> TensorLy: Tensor learning in Python </A>
• <DT><A HREF="https://www.oreilly.com/ideas/question-answering-with-tensorflow"> Question answering with TensorFlow - O'Reilly Media </A>
• <DT><A HREF="https://medium.com/intuitionmachine/kubernetes-gpus-tensorflow-8696232862ca"> Kubernetes + GPUs 💙 Tensorflow – Intuition Machine – Medium </A>
• <DT><A HREF="https://eng.uber.com/deep-neuroevolution/"> Welcoming the Era of Deep Neuroevolution - Uber Engineering Blog </A>
• <DT><A HREF="https://tryolabs.com/blog/2017/12/12/deep-learning-for-nlp-advancements-and-trends-in-2017/?lipi=urn%3Ali%3Apage%3Ad_flagship3_feed%3Bk%2BLH0xAtQoitL9UwF53hBQ%3D%3D"> Deep Learning for NLP, advancements and trends in 2017 - Tryolabs Blog </A>
• <DT><A HREF="https://blog.floydhub.com/turning-design-mockups-into-code-with-deep-learning/"> Turning Design Mockups Into Code With Deep Learning - FloydHub Blog </A>
• <DT><A HREF="http://www.wildml.com/2017/12/ai-and-deep-learning-in-2017-a-year-in-review/"> AI and Deep Learning in 2017 – A Year in Review – WildML </A>
• <DT><A HREF="https://research.googleblog.com/2018/01/the-google-brain-team-looking-back-on.html?m=1"> Research Blog: The Google Brain Team — Looking Back on 2017 (Part 1 of 2) </A>
• <DT><A HREF="https://leonardoaraujosantos.gitbooks.io/artificial-inteligence/content/reinforcement_learning.html"> Reinforcement Learning · Artificial Inteligence </A>
• <DT><A HREF="https://airbnb.design/sketching-interfaces/"> Sketching Interfaces – Airbnb Design </A>
• <DT><A HREF="https://www.datasciencecentral.com/profiles/blogs/machine-learning-explained-understanding-supervised-unsupervised"> Machine Learning Explained: Understanding Supervised, Unsupervised, and Reinforcement Learning - Data Science Central </A>
• <DT><A HREF="http://cv-tricks.com/keras/fine-tuning-tensorflow/"> Fine-tuning Convolutional Neural Network on own data using Keras Tensorflow – CV-Tricks.com </A>
• <DT><A HREF="https://deepmind.com/blog/neural-approach-relational-reasoning/"> A neural approach to relational reasoning | DeepMind </A>
• <DT><A HREF="https://www.alexirpan.com/2018/02/14/rl-hard.html"> Deep Reinforcement Learning Doesn't Work Yet </A>
• <DT><A HREF="https://research.google.com/bigpicture/"> Big Picture: Google Visualization Research </A>
• <DT><A HREF="https://research.googleblog.com/2018/03/using-evolutionary-automl-to-discover.html"> Research Blog: Using Evolutionary AutoML to Discover Neural Network Architectures </A>
• <DT><A HREF="https://mortendahl.github.io/2018/03/01/secure-computation-as-dataflow-programs/"> Secure Computations as Dataflow Programs - Cryptography and Machine Learning </A>
• <DT><A HREF="https://hanxiao.github.io/2018/04/21/Teach-Machine-to-Comprehend-Text-and-Answer-Question-with-Tensorflow/"> Teach Machine to Comprehend Text and Answer Question with Tensorflow - Part I · Han Xiao Tech Blog </A>
• <DT><A HREF="http://karpathy.github.io/2016/05/31/rl/"> Deep Reinforcement Learning: Pong from Pixels </A>
• <DT><A HREF="https://bicepjai.github.io/machine-learning/2016/08/22/tensorboard-on-gcloud.html"> Tensorboard on gcloud </A>
• <DT><A HREF="https://medium.com/intro-to-artificial-intelligence/entity-extraction-using-deep-learning-8014acac6bb8"> Entity extraction using Deep Learning based on Guillaume Genthial work on NER </A>
• <DT><A HREF="https://towardsdatascience.com/deep-learning-book-notes-chapter-3-part-1-introduction-to-probability-49d13c997f2a"> Deep Learning Book Notes, Chapter 3 (part 1): Introduction to Probability </A>
• <DT><A HREF="https://blog.goodaudience.com/predicting-physical-activity-based-on-smartphone-sensor-data-using-cnn-lstm-9182dd13b6bc"> Predicting physical activity based on smartphone sensor data using CNN + LSTM </A>
• <DT><A HREF="https://towardsdatascience.com/learn-word2vec-by-implementing-it-in-tensorflow-45641adaf2ac"> Learn Word2Vec by implementing it in tensorflow – Towards Data Science </A>
• <DT><A HREF="https://alex-fabbri.github.io/TutorialBank/"> TutorialBank: Learning NLP Made Easier - Alexander R. Fabbri </A>
• <DT><A HREF="http://minimaxir.com/2018/05/text-neural-networks/"> How to Quickly Train a Text-Generating Neural Network for Free </A>
• <DT><A HREF="https://towardsdatascience.com/code2pix-deep-learning-compiler-for-graphical-user-interfaces-1256c346950b"> Code2Pix - Deep Learning Compiler for Graphical User Interfaces </A>
• <DT><A HREF="https://www.poly-ai.com/docs/naacl18.pdf"> naacl18.pdf </A>
• <DT><A HREF="https://towardsdatascience.com/deep-learning-for-object-detection-a-comprehensive-review-73930816d8d9"> Deep Learning for Object Detection: A Comprehensive Review </A>
• <DT><A HREF="https://hanxiao.github.io/2018/06/25/4-Encoding-Blocks-You-Need-to-Know-Besides-LSTM-RNN-in-Tensorflow/"> 4 Sequence Encoding Blocks You Must Know Besides RNN/LSTM in Tensorflow · Han Xiao Tech Blog - Deep Learning, Tensorflow, Machine Learning and more! </A>
• <DT><A HREF="https://blog.insightdatascience.com/automated-front-end-development-using-deep-learning-3169dd086e82"> Automated front-end development using deep learning </A>
• <DT><A HREF="https://thomas-tanay.github.io/post--L2-regularization/"> A New Angle on L2 Regularization </A>
• <DT><A HREF="http://anotherdatum.com/"> Another Datum </A>
• <DT><A HREF="https://indico.cern.ch/event/722319/contributions/3001310/attachments/1661268/2661638/IML-Sequence.pdf?utm_campaign=Revue%20newsletter&utm_medium=Newsletter&utm_source=NLP%20News"> IML-Sequence </A>
• <DT><A HREF="https://github.com/ml4a/ml4a-guides/blob/experimental/notebooks/q_learning.ipynb"> ml4a-guides/q_learning.ipynb at experimental · ml4a/ml4a-guides </A>
• <DT><A HREF="https://github.com/GoogleCloudPlatform/tensorflow-without-a-phd/blob/master/tensorflow-rnn-tutorial/tutorial/00_RNN_predictions_playground.ipynb"> tensorflow-without-a-phd/00_RNN_predictions_playground.ipynb at master · GoogleCloudPlatform/tensorflow-without-a-phd </A>
• <DT><A HREF="https://www.learnopencv.com/convolutional-neural-network-based-image-colorization-using-opencv/"> Convolutional Neural Network based Image Colorization using OpenCV | Learn OpenCV </A>
• <DT><A HREF="https://blog.feedly.com/transfer-learning-in-nlp/"> Transfer Learning in NLP – Feedly Blog </A>
• <DT><A HREF="https://stanford.edu/~shervine/teaching/cs-229/cheatsheet-deep-learning.html"> CS 229 - Deep Learning Cheatsheet </A>
• <DT><A HREF="https://ai.googleblog.com/2018/08/introducing-new-framework-for-flexible.html?m=1"> Google AI Blog: Introducing a New Framework for Flexible and Reproducible Reinforcement Learning Research </A>
• <DT><A HREF="https://medium.com/tensorflow/building-a-text-classification-model-with-tensorflow-hub-and-estimators-3169e7aa568"> Building a text classification model with TensorFlow Hub and Estimators </A>
• <DT><A HREF="https://towardsdatascience.com/deploy-tensorflow-models-9813b5a705d5"> Deploy TensorFlow models – Towards Data Science </A>
• <DT><A HREF="https://mohitjain.me/category/deep-learning/"> Deep Learning – Mohit Jain </A>
• <DT><A HREF="https://habr.com/company/mailru/blog/417767/"> Анализ тональности текстов с помощью сверточных нейронных сетей / Блог компании Mail.Ru Group / Хабр </A>
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