Python Machine Learning (2nd Ed.) Code Repository

By Sebastian Raschka et al.: https://github.com/rasbt/python-machine-learning-book-2nd-edition

#100DaysOfMLCode #Clustering #DataScience #DeepLearning #MachineLearning #NeuralNetworks #Programming #SupervisedLearning

"Neural Networks for Machine Learning by Geoffrey Hinton" (Coursera 2013)

Video Lectures: https://www.youtube.com/watch?v=2fRnHVVLf1Y&list=PLiPvV5TNogxKKwvKb1RKwkq2hm7ZvpHz0

#100DaysOfMLCode #ArtificialIntelligence #DeepLearning #NeuralNetworks #MachineLearning

Data Pre-processing for Deep Learning models (Deep Learning with Keras – Part 2)
Training deep learning models requires data… A lot of data! Unfortunately, in most cases data comes messy, and our models are very sensitive towards this. Therefore, we need to be careful while preparing our data to achieve the best results.

Part 1- https://www.marktechpost.com/2019/06/11/deep-learning-with-keras-tutorial-part-1/

Part 2- https://www.marktechpost.com/2019/06/14/deep-learning-wit...
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They say a picture is worth a thousand words. Sure, but the real trick is realizing a bot that draws pictures is using only a dozen. Throw in an ability to visualize an entire story and one day this bot could be working in the movies. #CVPR2019

https://www.microsoft.com/en-us/research/blog/a-picture-from-a-dozen-words-a-drawing-bot-for-realizing-everyday-scenes-and-even-stories/?OCID=msr_blog_drawbot_cvpr_tw

List of 200+ Data Science Blogs https://www.cybrhome.com/topic/data-science-blogs

new course :

3 days until you can take Course 3 of the TensorFlow Specialization! Andrew ng and Laurence discuss what it takes to process text, one of the foundational skills for building NLP applications.

Enroll in Course 1 and 2 if you haven't already:

https://www.coursera.org/collections/tensorflow-deeplearning-ai

https://t.iss.one/ArtificialIntelligenceArticles

deeplearning.ai

Reweighted Expectation Maximization
Adji B. Dieng and John Paisley: https://arxiv.org/abs/1906.05850
Code: https://github.com/adjidieng/REM
#ArtificialIntelligence #MachineLearning #VariationalAutoEncoders #VAEs

Turing's Neural Networks of 1948
By Jack Copeland and Diane Proudfoot

https://www.alanturing.net/turing_archive/pages/Reference%20Articles/connectionism/Turing's%20neural%20networks.html?fbclid=IwAR0B5k0lmUY2JNwV0aMgMvTkmb-lFlW7j4R8RID632rvkhGEdSYB3Vd_uv4

Contrastive Multiview Coding
Unsupervised representation learned to maximize MI measure between different views results in SoTA for downstream tasks such as object classification

code https://github.com/HobbitLong/CMC/

paper https://arxiv.org/pdf/1906.05849.pdf

Divide and Conquer the Embedding Space for Metric Learning, CVPR 2019

code https://github.com/CompVis/metric-learning-divide-and-conquer

Topology-Preserving Deep Image Segmentation. arxiv.org/abs/1906.05404

“CVPR 2019 | Waymo Introduces Open Dataset to Accelerate Autonomous Driving Research”
https://medium.com/syncedreview/cvpr-2019-waymo-introduces-open-dataset-to-accelerate-autonomous-driving-research-38d9dcde032c

Don't forget that YOU have the power to create your own future. What will yours be?

Create custom gym environments from scratch — A stock market example

By Adam King: https://towardsdatascience.com/creating-a-custom-openai-gym-environment-for-stock-trading-be532be3910e

#artificialintelligence #stockmarket #trading #reinforcementlearning

Speech Model Pre-training for End-to-End Spoken Language Understanding

Lugosch et al.: https://arxiv.org/abs/1904.03670

#spokenlanguageunderstanding #machinelearning #technology

Must watch! [https://www.youtube.com/watch?v=g6HiuEnbwJE]

Presented at CVPR 2019:

Facebook researchers use AI to generate recipes from food images

(They evaluate the whole system on the large-scale Recipe1M dataset)

https://www.profillic.com/paper/arxiv:1812.06164

Using AI to generate recipes from food images

Facebook developed image 2 recipe architecture.

Paper: https://research.fb.com/publications/inverse-cooking-recipe-generation-from-food-images/
Code: https://github.com/facebookresearch/inversecooking


Link: https://ai.facebook.com/blog/inverse-cooking/

#CV #DL

AlphaStar: Mastering the Game of StarCraft II
Talk by David Silver: https://slideslive.com/38916905/alphastar-mastering-the-game-of-starcraft-ii
#ArtificialIntelligence #DeepLearning #ReinforcementLearning