The major advancements in Deep Learning in 2018
https://tryolabs.com/blog/2018/12/19/major-advancements-deep-learning-2018/
https://tryolabs.com/blog/2018/12/19/major-advancements-deep-learning-2018/
Tryolabs
The major advancements in Deep Learning in 2018
Deep Learning has changed the entire landscape over the past few years and its results are steadily improving. This article presents some of the main advances and accomplishments in Deep Learning for 2018.
30 Data Science Punchlines
A holiday reading list condensed into 30 quotes
https://towardsdatascience.com/data-science-conversation-starters-84affd2347f6
A holiday reading list condensed into 30 quotes
https://towardsdatascience.com/data-science-conversation-starters-84affd2347f6
Generating New Ideas for Machine Learning Projects Through Machine Learning
https://towardsdatascience.com/generating-new-ideas-for-machine-learning-projects-through-machine-learning-ce3fee50ec2
https://towardsdatascience.com/generating-new-ideas-for-machine-learning-projects-through-machine-learning-ce3fee50ec2
Medium
Generating New Ideas for Machine Learning Projects Through Machine Learning
Generating style-specific text from a small corpus of 2.5k sentences using a pre-trained language model. Code in PyTorch
How to Create a Random-Split, Cross-Validation, and Bagging Ensemble for Deep Learning in Keras
https://machinelearningmastery.com/how-to-create-a-random-split-cross-validation-and-bagging-ensemble-for-deep-learning-in-keras/
https://machinelearningmastery.com/how-to-create-a-random-split-cross-validation-and-bagging-ensemble-for-deep-learning-in-keras/
MachineLearningMastery.com
How to Create a Bagging Ensemble of Deep Learning Models in Keras - MachineLearningMastery.com
Ensemble learning are methods that combine the predictions from multiple models.
It is important in ensemble learning that the models that comprise the ensemble are good, making different prediction errors. Predictions that are good in different ways can…
It is important in ensemble learning that the models that comprise the ensemble are good, making different prediction errors. Predictions that are good in different ways can…
Deep learning cheatsheets, covering content of Stanford’s CS 230 class
CNN: https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-convolutional-neural-networks
RNN: https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-recurrent-neural-networks
TipsAndTricks: https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-deep-learning-tips-and-tricks
#cheatsheet #Stanford #dl #cnn #rnn #tipsntricks
CNN: https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-convolutional-neural-networks
RNN: https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-recurrent-neural-networks
TipsAndTricks: https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-deep-learning-tips-and-tricks
#cheatsheet #Stanford #dl #cnn #rnn #tipsntricks
stanford.edu
CS 230 - Convolutional Neural Networks Cheatsheet
Teaching page of Shervine Amidi, Graduate Student at Stanford University.
A radical new neural network design
https://www.technologyreview.com/s/612561/a-radical-new-neural-network-design-could-overcome-big-challenges-in-ai/
https://www.technologyreview.com/s/612561/a-radical-new-neural-network-design-could-overcome-big-challenges-in-ai/
MIT Technology Review
A radical new neural network design could overcome big challenges in AI
David Duvenaud was collaborating on a project involving medical data when he ran up against a major shortcoming in AI. An AI researcher at the University of Toronto, he wanted to build a deep-learning model that would predict a patient’s health over time.…
Explained: A Style-Based Generator Architecture for GANs - Generating and Tuning Realistic Artificial Faces
https://towardsdatascience.com/explained-a-style-based-generator-architecture-for-gans-generating-and-tuning-realistic-6cb2be0f431
https://towardsdatascience.com/explained-a-style-based-generator-architecture-for-gans-generating-and-tuning-realistic-6cb2be0f431
Medium
Explained: A Style-Based Generator Architecture for GANs - Generating and Tuning Realistic Artificial Faces
NVIDIA’s novel architecture for Generative Adversarial Networks
How to Develop a Stacking Ensemble for Deep Learning Neural Networks in Python With Keras
https://machinelearningmastery.com/stacking-ensemble-for-deep-learning-neural-networks/
https://machinelearningmastery.com/stacking-ensemble-for-deep-learning-neural-networks/
Impact of Dataset Size on Deep Learning Model Skill And Performance Estimates
https://machinelearningmastery.com/impact-of-dataset-size-on-deep-learning-model-skill-and-performance-estimates/
https://machinelearningmastery.com/impact-of-dataset-size-on-deep-learning-model-skill-and-performance-estimates/
MachineLearningMastery.com
Impact of Dataset Size on Deep Learning Model Skill And Performance Estimates - MachineLearningMastery.com
Supervised learning is challenging, although the depths of this challenge are often learned then forgotten or willfully ignored. This must be the case, because dwelling too long on this challenge may result in a pessimistic outlook. In spite of the challenge…
Creating voice assistant for games (tutorial for FIFA)
Play games with voice commands using a Deep Learning powered wake-word detection engine
https://towardsdatascience.com/creating-voice-assistant-for-games-tutorial-for-fifa-71cfbe428bd1
Play games with voice commands using a Deep Learning powered wake-word detection engine
https://towardsdatascience.com/creating-voice-assistant-for-games-tutorial-for-fifa-71cfbe428bd1
Medium
Creating voice assistant for games (tutorial for FIFA)
Play games with voice commands using a Deep Learning powered wake-word detection engine.
Top 10 IPython Notebook Tutorials for Data Science and Machine Learning
List mostly for beginners.
Link: https://www.kdnuggets.com/2016/04/top-10-ipython-nb-tutorials.html
#novice #beginner #ipython #jupyter
List mostly for beginners.
Link: https://www.kdnuggets.com/2016/04/top-10-ipython-nb-tutorials.html
#novice #beginner #ipython #jupyter
The best of GAN papers in the year 2018
https://dtransposed.github.io/blog/Best-of-GANs-2018-(Part-1-out-of-2).html
https://dtransposed.github.io/blog/Best-of-GANs-2018-(Part-1-out-of-2).html
Forwarded from Python/ django
Python Anaconda for Deep Learning, Keras and Tensorflow (Module 1, Part 3)
https://www.youtube.com/watch?v=uOMhboAnVNk
https://www.youtube.com/watch?v=uOMhboAnVNk
YouTube
1.3: Python Anaconda for Deep Learning, Keras and Tensorflow (Module 1, Part 3)
An introduction to Anaconda Python for deep learning with Keras and TensorFlow. An introduction is provided for vectors, dictionaries, and other Python language elements. This course is taught in a hybrid format at Washington University in St. Louis; however…
What a text recognition system actually sees
https://towardsdatascience.com/what-a-text-recognition-system-actually-sees-6c04864b8a98
https://towardsdatascience.com/what-a-text-recognition-system-actually-sees-6c04864b8a98
Conference on Empirical Methods on Natural Language Processing
https://medium.com/unbabel/emnlp18-cookie-monsters-blackboxes-and-document-level-nmt-f5ae0da2d129
https://medium.com/unbabel/emnlp18-cookie-monsters-blackboxes-and-document-level-nmt-f5ae0da2d129
Medium
EMNLP’18: Cookie Monsters, Blackboxes, and Document-Level NMT
This year, a total of 10 Unbabel AI researchers descended upon Brussels to attend the Conference on Empirical Methods on Natural Language…
Reinforcement learning without gradients: evolving agents using Genetic Algorithms
https://towardsdatascience.com/reinforcement-learning-without-gradients-evolving-agents-using-genetic-algorithms-8685817d84f
https://towardsdatascience.com/reinforcement-learning-without-gradients-evolving-agents-using-genetic-algorithms-8685817d84f
Medium
Reinforcement learning without gradients: evolving agents using Genetic Algorithms
Implementing Deep Neuroevolution in PyTorch to evolve an agent for CartPole [code + tutorial]
Using the latest advancements in deep learning to predict stock price movements
https://medium.com/@borisborev/aifortrading-2edd6fac689d
https://medium.com/@borisborev/aifortrading-2edd6fac689d
Medium
Using the latest advancements in deep learning to predict stock price movements
Link to the complete notebook: https://github.com/borisbanushev/stockpredictionai