Free online r course
fasteR: Fast Lane to Learning R!
https://github.com/matloff/fasteR
🔗 matloff/fasteR
Fast Lane to Learning R! Contribute to matloff/fasteR development by creating an account on GitHub.
fasteR: Fast Lane to Learning R!
https://github.com/matloff/fasteR
🔗 matloff/fasteR
Fast Lane to Learning R! Contribute to matloff/fasteR development by creating an account on GitHub.
GitHub
GitHub - matloff/fasteR: Fast Lane to Learning R!
Fast Lane to Learning R! Contribute to matloff/fasteR development by creating an account on GitHub.
Visualizing Loss Landscape of Deep Neural Networks…..but can we Trust them?
🔗 Visualizing Loss Landscape of Deep Neural Networks…..but can we Trust them?
Can we trust the visualization of loss landscape of deep neural networks?
🔗 Visualizing Loss Landscape of Deep Neural Networks…..but can we Trust them?
Can we trust the visualization of loss landscape of deep neural networks?
Towards Data Science
Visualizing Loss Landscape of Deep Neural Networks…..but can we Trust them?
Can we trust the visualization of loss landscape of deep neural networks?
🎥 Segmentation of Brain Tumors from MRI using Deep Learning
👁 1 раз ⏳ 2331 сек.
👁 1 раз ⏳ 2331 сек.
Segmentation of Brain Tumors from MRI using Deep LearningVk
Segmentation of Brain Tumors from MRI using Deep Learning
Наш телеграм канал - tglink.me/ai_machinelearning_big_data
https://www.youtube.com/watch?v=fcD6YeEYKNg
🎥 Deep Learning With Python | Deep Learning And Neural Networks | Deep Learning Tutorial | Simplilearn
👁 1 раз ⏳ 3055 сек.
https://www.youtube.com/watch?v=fcD6YeEYKNg
🎥 Deep Learning With Python | Deep Learning And Neural Networks | Deep Learning Tutorial | Simplilearn
👁 1 раз ⏳ 3055 сек.
This video on Deep Learning with Python will help you understand what is deep learning, applications of deep learning, what is a neural network, biological versus artificial neural networks, introduction to TensorFlow, activation function, cost function, how neural networks work, and what gradient descent is. Deep learning is a technology that is used to achieve machine learning through neural networks. We will also look into how neural networks can help achieve the capability of a machine to mimic human beComprehensive Introduction to Turing Learning and GANs: Part 1
🔗 Comprehensive Introduction to Turing Learning and GANs: Part 1
Want to turn horses into zebras? Make DIY anime characters or celebrities? Generative adversarial networks (GANs) are your new best friend.
🔗 Comprehensive Introduction to Turing Learning and GANs: Part 1
Want to turn horses into zebras? Make DIY anime characters or celebrities? Generative adversarial networks (GANs) are your new best friend.
Towards Data Science
Comprehensive Introduction to Turing Learning and GANs: Part 1
Want to turn horses into zebras? Make DIY anime characters or celebrities? Generative adversarial networks (GANs) are your new best friend.
🎥 Feature Ranking in Keras and Scikit-Learn: Perturbation Ranking
👁 1 раз ⏳ 1035 сек.
👁 1 раз ⏳ 1035 сек.
Perturbation Ranking will tell which imports are the most important for any machine learning model, such as a deep neural network. The provided code work with TensorFlow and Keras. Because Perturbation ranking uses no internal model information (only results from generated inputs), it can be used with any classification or regression model.
Code for this video: https://github.com/drcannady/pub/tree/master/ijcnn-2017
Follow Me/Subscribe:
https://www.youtube.com/user/HeatonResearch
https://github.com/jeffVk
Feature Ranking in Keras and Scikit-Learn: Perturbation Ranking
Perturbation Ranking will tell which imports are the most important for any machine learning model, such as a deep neural network. The provided code work with TensorFlow and Keras. Because Perturbation ranking uses no internal model information (only results…
🎥 TensorFlow In 10 Minutes | TensorFlow Tutorial For Beginners | TensorFlow Training | Edureka
👁 1 раз ⏳ 541 сек.
👁 1 раз ⏳ 541 сек.
*** AI and Deep-Learning with TensorFlow - https://www.edureka.co/ai-deep-learning-with-tensorflow ***
This video provides you with a basic introduction to TensorFlow: The amazing deep learning framework by Google.
*** Complete Tensorflow Playlist: https://www.youtube.com/playlist?list=PL9ooVrP1hQOFJ8UZl86fYfmB1_P5yGzBT ***
Join our Meetup group and never miss any free live webinar: http://bit.ly/2DQO5PL
--------------------------------------------------
Subscribe to our Edureka YouTube channel to getVk
TensorFlow In 10 Minutes | TensorFlow Tutorial For Beginners | TensorFlow Training | Edureka
*** AI and Deep-Learning with TensorFlow - https://www.edureka.co/ai-deep-learning-with-tensorflow ***
This video provides you with a basic introduction to TensorFlow: The amazing deep learning framework by Google.
*** Complete Tensorflow Playlist: htt…
This video provides you with a basic introduction to TensorFlow: The amazing deep learning framework by Google.
*** Complete Tensorflow Playlist: htt…
🎥 Машинное обучение 12. RNN
👁 1 раз ⏳ 5060 сек.
👁 1 раз ⏳ 5060 сек.
Лекция 30.04.2019
Лектор: Радослав Нейчев
Снимал: Александр Гришутин
Монтировал: Александр ВасильевVk
Машинное обучение 12. RNN
Лекция 30.04.2019
Лектор: Радослав Нейчев
Снимал: Александр Гришутин
Монтировал: Александр Васильев
Лектор: Радослав Нейчев
Снимал: Александр Гришутин
Монтировал: Александр Васильев
🎥 Занятие 8 | Машинное обучение
👁 1 раз ⏳ 2158 сек.
👁 1 раз ⏳ 2158 сек.
Преподаватель: Власов Кирилл Вячеславович
Материалы курса: https://github.com/ml-dafe/ml_mipt_dafe_minor
Дата: 27.04.2019Vk
Занятие 8 | Машинное обучение
Преподаватель: Власов Кирилл Вячеславович
Материалы курса: https://github.com/ml-dafe/ml_mipt_dafe_minor
Дата: 27.04.2019
Материалы курса: https://github.com/ml-dafe/ml_mipt_dafe_minor
Дата: 27.04.2019
GitHub Autocompletion with Machine Learning
🔗 GitHub Autocompletion with Machine Learning
Written by Óscar D. Lara Yejas and Ankit Jha
🔗 GitHub Autocompletion with Machine Learning
Written by Óscar D. Lara Yejas and Ankit Jha
Towards Data Science
Github Autocompletion with Machine Learning
Written by Óscar D. Lara Yejas and Ankit Jha
Comprehensive Introduction to Turing Learning and GANs: Part 1
🔗 Comprehensive Introduction to Turing Learning and GANs: Part 1
Want to turn horses into zebras? Make DIY anime characters or celebrities? Generative adversarial networks (GANs) are your new best friend.
🔗 Comprehensive Introduction to Turing Learning and GANs: Part 1
Want to turn horses into zebras? Make DIY anime characters or celebrities? Generative adversarial networks (GANs) are your new best friend.
Towards Data Science
Comprehensive Introduction to Turing Learning and GANs: Part 1
Want to turn horses into zebras? Make DIY anime characters or celebrities? Generative adversarial networks (GANs) are your new best friend.
Dataset bridges human vision and machine learning
🔗 Dataset bridges human vision and machine learning
Neuroscientists and computer vision scientists say a new dataset of unprecedented size—comprising brain scans of four volunteers who each viewed 5,000 images—will help researchers better understand ...
🔗 Dataset bridges human vision and machine learning
Neuroscientists and computer vision scientists say a new dataset of unprecedented size—comprising brain scans of four volunteers who each viewed 5,000 images—will help researchers better understand ...
Medicalxpress
Dataset bridges human vision and machine learning
Neuroscientists and computer vision scientists say a new dataset of unprecedented size—comprising brain scans of four volunteers who each viewed 5,000 images—will help researchers better understand ...
🎥 Deep Neural Networks step by step final prediction model #part 5
👁 1 раз ⏳ 1737 сек.
👁 1 раз ⏳ 1737 сек.
In this tutorial we will use the functions we had implemented in the previous parts to build a deep network, and apply it to cat vs dog classification. Hopefully, we will see an improvement in accuracy relative to our previous logistic regression implementation. After this part we will be able to build and apply a deep neural network to supervised learning using only numpy library.
Full tutorial code and cats vs dogs image data-set can be found on my GitHub page: https://github.com/pythonlessons/Logistic-rVk
Deep Neural Networks step by step final prediction model #part 5
In this tutorial we will use the functions we had implemented in the previous parts to build a deep network, and apply it to cat vs dog classification. Hopefully, we will see an improvement in accuracy relative to our previous logistic regression implementation.…
🎥 Deep Learning and Modern NLP - Zachary S Brown
👁 1 раз ⏳ 5393 сек.
👁 1 раз ⏳ 5393 сек.
In this tutorial, we’ll cover the fundamental building blocks of neural network architectures and how they are utilized to tackle problems in modern natural language processing. Topics covered will include an overview of language vector representations, text classification, named entity recognition, and sequence to sequence modeling approaches. An emphasis will be placed on the shape of these types of problems from the perspective of deep learning architectures. This will help to develop an intuition for idVk
Deep Learning and Modern NLP - Zachary S Brown
In this tutorial, we’ll cover the fundamental building blocks of neural network architectures and how they are utilized to tackle problems in modern natural language processing. Topics covered will include an overview of language vector representations, text…
DeepMind's AI Learned a Better Understanding of 3D Scenes
🔗 DeepMind's AI Learned a Better Understanding of 3D Scenes
Backblaze: https://www.backblaze.com/cloud-backup.html#af9tk4 📝 The paper "MONet: Unsupervised Scene Decomposition and Representation" is available here: htt...
🔗 DeepMind's AI Learned a Better Understanding of 3D Scenes
Backblaze: https://www.backblaze.com/cloud-backup.html#af9tk4 📝 The paper "MONet: Unsupervised Scene Decomposition and Representation" is available here: htt...
YouTube
DeepMind's AI Learned a Better Understanding of 3D Scenes
Backblaze:
https://www.backblaze.com/cloud-backup.html#af9tk4
📝 The paper "MONet: Unsupervised Scene Decomposition and Representation" is available here:
https://arxiv.org/abs/1901.11390
❤️ Pick up cool perks on our Patreon page: https://www.patreon.co…
https://www.backblaze.com/cloud-backup.html#af9tk4
📝 The paper "MONet: Unsupervised Scene Decomposition and Representation" is available here:
https://arxiv.org/abs/1901.11390
❤️ Pick up cool perks on our Patreon page: https://www.patreon.co…
How is Data Science Changing the World?
🔗 How is Data Science Changing the World?
In this article, you will go through the role that a Data Scientist plays. There is a veil of mystery surrounding Data Science. While the…
🔗 How is Data Science Changing the World?
In this article, you will go through the role that a Data Scientist plays. There is a veil of mystery surrounding Data Science. While the…
Towards Data Science
How is Data Science Changing the World?
In this article, you will go through the role that a Data Scientist plays. There is a veil of mystery surrounding Data Science. While the…
🎥 Tutorial 2019 || Cryptocurrency-predicting RNN intro - Deep Learning w/ Python, TensorFlow and Keras
👁 1 раз ⏳ 1204 сек.
👁 1 раз ⏳ 1204 сек.
Tutorial 2019 || Cryptocurrency-predicting RNN intro - Deep Learning w/ Python, TensorFlow and Keras p.8Vk
Tutorial 2019 || Cryptocurrency-predicting RNN intro - Deep Learning w/ Python, TensorFlow and Keras
Tutorial 2019 || Cryptocurrency-predicting RNN intro - Deep Learning w/ Python, TensorFlow and Keras p.8
🎥 Leveraging NLP and Deep Learning for Document Recommendations in the CloudGuoqiong Song Intel
👁 1 раз ⏳ 1254 сек.
👁 1 раз ⏳ 1254 сек.
Efficient recommender systems are critical for the success of many industries, such as job recommendation, news recommendation, ecommerce, etc. This talk will illustrate how to build an efficient document recommender system by leveraging Natural Language Processing(NLP) and Deep Neural Networks (DNNs). The end-to-end flow of the document recommender system is build on AWS at scale, using Analytics Zoo for Spark and BigDL. The system first processes text rich documents into embeddings by incorporating GlobalVk
Leveraging NLP and Deep Learning for Document Recommendations in the CloudGuoqiong Song Intel
Efficient recommender systems are critical for the success of many industries, such as job recommendation, news recommendation, ecommerce, etc. This talk will illustrate how to build an efficient document recommender system by leveraging Natural Language…