Нейросети и глубокое обучение: онлайн-учебник, глава 1
Наш телеграм канал - tglink.me/ai_machinelearning_big_data
Michael NielsenПеред вами – перевод свободной онлайн-книги Майкла Нильсена «Neural Networks and Deep Learning», распространяемой под лицензией Creative Commons Attribution-NonCommercial 3.0 Unported License. Мотивацией к его созданию послужил успешный опыт перевода учебника по программированию, "Выразительный JavaScript". Книга по нейросетям тоже достаточно популярна, на неё активно ссылаются авторы англоязычных статей. Её переводов я не нашёл, за исключением перевода начала первой главы с сокращениями.
Желающие отблагодарить автора книги могут сделать это на её официальной странице, переводом через PayPal или биткоин. Для поддержки переводчика на Хабре есть форма «поддержать автора».
https://habr.com/ru/post/456738/
🔗 Нейросети и глубокое обучение: онлайн-учебник, глава 1
Примечание Перед вами – перевод свободной онлайн-книги Майкла Нильсена «Neural Networks and Deep Learning», распространяемой под лицензией Creative Commons Attri...
Наш телеграм канал - tglink.me/ai_machinelearning_big_data
Michael NielsenПеред вами – перевод свободной онлайн-книги Майкла Нильсена «Neural Networks and Deep Learning», распространяемой под лицензией Creative Commons Attribution-NonCommercial 3.0 Unported License. Мотивацией к его созданию послужил успешный опыт перевода учебника по программированию, "Выразительный JavaScript". Книга по нейросетям тоже достаточно популярна, на неё активно ссылаются авторы англоязычных статей. Её переводов я не нашёл, за исключением перевода начала первой главы с сокращениями.
Желающие отблагодарить автора книги могут сделать это на её официальной странице, переводом через PayPal или биткоин. Для поддержки переводчика на Хабре есть форма «поддержать автора».
https://habr.com/ru/post/456738/
🔗 Нейросети и глубокое обучение: онлайн-учебник, глава 1
Примечание Перед вами – перевод свободной онлайн-книги Майкла Нильсена «Neural Networks and Deep Learning», распространяемой под лицензией Creative Commons Attri...
🎥 All Hail The Mighty Translatotron!
👁 2 раз ⏳ 358 сек.
👁 2 раз ⏳ 358 сек.
❤️ Pick up cool perks on our Patreon page: https://www.patreon.com/TwoMinutePapers
My talk and the full panel discussion at the NATO conference (I start at around the 12:30 minute mark):
▶️ https://www.facebook.com/StratComCOE/videos/698737203889068/
📝 The paper "Direct speech-to-speech translation with a sequence-to-sequence model" and the voice samples are available here:
https://arxiv.org/abs/1904.06037
https://google-research.github.io/lingvo-lab/translatotron/#conversational
🙏 We would like to thank
Vk
All Hail The Mighty Translatotron!
❤️ Pick up cool perks on our Patreon page: https://www.patreon.com/TwoMinutePapers
My talk and the full panel discussion at the NATO conference (I start at around the 12:30 minute mark):
▶️ https://www.facebook.com/StratComCOE/videos/698737203889068/
📝…
My talk and the full panel discussion at the NATO conference (I start at around the 12:30 minute mark):
▶️ https://www.facebook.com/StratComCOE/videos/698737203889068/
📝…
🎥 Machine Learning - Issues in Backpropagation (7x06)
👁 1 раз ⏳ 1777 сек.
👁 1 раз ⏳ 1777 сек.
Machine Learning by Pedro Domingos
Class: Model Ensembles
Topic: Issues in Backpropagation
Vk
Machine Learning - Issues in Backpropagation (7x06)
Machine Learning by Pedro Domingos
Class: Model Ensembles
Topic: Issues in Backpropagation
Class: Model Ensembles
Topic: Issues in Backpropagation
Artificial Intelligence In Healthcare | Examples Of AI In Healthcare
Наш телеграм канал - tglink.me/ai_machinelearning_big_data
https://www.youtube.com/watch?v=j6EB9HO6acE
🎥 Artificial Intelligence In Healthcare | Examples Of AI In Healthcare | Edureka
👁 1 раз ⏳ 1752 сек.
Наш телеграм канал - tglink.me/ai_machinelearning_big_data
https://www.youtube.com/watch?v=j6EB9HO6acE
🎥 Artificial Intelligence In Healthcare | Examples Of AI In Healthcare | Edureka
👁 1 раз ⏳ 1752 сек.
* Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training *
Artificial Intelligence in Healthcare is revolutionizing the medical industry by providing a helping hand. This Edureka session will help you understand the positive impact of Artificial Intelligence in the healthcare domain along with practical implementation in Python. The following topics are covered in this session:
1. What Is Artificial Intelligence?
2. AI in healthcare
3.
YouTube
Artificial Intelligence In Healthcare | Examples Of AI In Healthcare | Edureka
* Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training *
Artificial Intelligence in Healthcare is revolutionizing the medical industry by providing a helping hand. This Edureka session will help…
Artificial Intelligence in Healthcare is revolutionizing the medical industry by providing a helping hand. This Edureka session will help…
Data Science Beyond the Hype — What kind of skills you really need?
🔗 Data Science Beyond the Hype — What kind of skills you really need?
Data science is reaching the end of its hype cycle and the skills for becoming a data scientist are changing. Besides of fiddling about…
🔗 Data Science Beyond the Hype — What kind of skills you really need?
Data science is reaching the end of its hype cycle and the skills for becoming a data scientist are changing. Besides of fiddling about…
Towards Data Science
Data Science Beyond the Hype — What kind of skills you really need?
Data science is reaching the end of its hype cycle and the skills for becoming a data scientist are changing. Besides of fiddling about…
Neural network can explain the physics of an earthquake rupture
🔗 Neural network can explain the physics of an earthquake rupture
Machine Learning Approach to Earthquake Rupture Dynamics
🔗 Neural network can explain the physics of an earthquake rupture
Machine Learning Approach to Earthquake Rupture Dynamics
Towards Data Science
Neural network can explain the physics of an earthquake rupture
Machine Learning Approach to Earthquake Rupture Dynamics
🎥 Berlin Buzzwords 2019: Lester Solbakken–Scaling ONNX and TensorFlow model evaluation in search
👁 1 раз ⏳ 1317 сек.
👁 1 раз ⏳ 1317 сек.
With the advances in deep learning and the corresponding increase in machine learning frameworks in recent years, a new class of software has emerged: model servers. These promise, among other things, performance and scalability. There is however a large class of applications where such model servers are inadequate. For instance, search and recommendation applications must efficiently evaluate models over potentially many thousands of data points as part of handling a query. In such cases the amount of data
Vk
Berlin Buzzwords 2019: Lester Solbakken–Scaling ONNX and TensorFlow model evaluation in search
With the advances in deep learning and the corresponding increase in machine learning frameworks in recent years, a new class of software has emerged: model servers. These promise, among other things, performance and scalability. There is however a large…
🎥 AWS Educate – Innovation and Education Lightning Talks
👁 1 раз ⏳ 3515 сек.
👁 1 раз ⏳ 3515 сек.
Four 8 minute powerful talks from leading higher education educators on topics related to AWS Educate, Education, Innovation, and Cyber, Voice AI, ML, or Deep Learning. After the talks, a moderator will have a 15 minute panel discussion related to the topics discussed.
Vk
AWS Educate – Innovation and Education Lightning Talks
Four 8 minute powerful talks from leading higher education educators on topics related to AWS Educate, Education, Innovation, and Cyber, Voice AI, ML, or Deep Learning. After the talks, a moderator will have a 15 minute panel discussion related to the topics…
MRI Tissue Magnetism Quantification through Total Field Inversion with Deep Neural Networks
https://arxiv.org/abs/1904.07105
🔗 MRI Tissue Magnetism Quantification through Total Field Inversion with Deep Neural Networks
Quantitative susceptibility mapping (QSM) utilizes MRI signal phase to infer estimates of local tissue magnetism (magnetic susceptibility), which has been shown useful to provide novel image contrast and as biomarkers of abnormal tissue. QSM requires addressing a challenging post-processing problem: filtering of image phase estimates and inversion of the phase to susceptibility relationship. A wide variety of quantification errors, robustness limitations, and artifacts plague QSM algorithms. To overcome these limitations, a robust deep-learning-based single-step QSM reconstruction approach is proposed and demonstrated. This neural network was trained using magnetostatic physics simulations based on in-vivo data sources. Random perturbations were added to the physics simulations to provide sufficient input-label pairs for the training purposes. The network was quantitatively tested using gold-standard in-silico labeled datasets against established QSM total field inversion approaches. In addition, the algorith
https://arxiv.org/abs/1904.07105
🔗 MRI Tissue Magnetism Quantification through Total Field Inversion with Deep Neural Networks
Quantitative susceptibility mapping (QSM) utilizes MRI signal phase to infer estimates of local tissue magnetism (magnetic susceptibility), which has been shown useful to provide novel image contrast and as biomarkers of abnormal tissue. QSM requires addressing a challenging post-processing problem: filtering of image phase estimates and inversion of the phase to susceptibility relationship. A wide variety of quantification errors, robustness limitations, and artifacts plague QSM algorithms. To overcome these limitations, a robust deep-learning-based single-step QSM reconstruction approach is proposed and demonstrated. This neural network was trained using magnetostatic physics simulations based on in-vivo data sources. Random perturbations were added to the physics simulations to provide sufficient input-label pairs for the training purposes. The network was quantitatively tested using gold-standard in-silico labeled datasets against established QSM total field inversion approaches. In addition, the algorith
arXiv.org
MRI Tissue Magnetism Quantification through Total Field Inversion...
Quantitative susceptibility mapping (QSM) utilizes MRI signal phase to infer
estimates of local tissue magnetism (magnetic susceptibility), which has been
shown useful to provide novel image...
estimates of local tissue magnetism (magnetic susceptibility), which has been
shown useful to provide novel image...
Modern Deep Learning Techniques Applied to Natural Language Processing by Authors
🔗 Modern Deep Learning Techniques Applied to Natural Language Processing by Authors
🔗 Modern Deep Learning Techniques Applied to Natural Language Processing by Authors
🎥 Intel: Leading the deep learning accelerator solutions
👁 1 раз ⏳ 1926 сек.
👁 1 раз ⏳ 1926 сек.
In this talk, we will discuss how Intel is leading the industry in developing AI accelerators and how new AI hardware like our Intel Nervana Neural Network Processors, paired with open-source software, will allow developers to harness the power of AI for any application.
Subscribe for more videos like this: http://hpe.to/6007Beguh
Visit our website: https://www.hpe.com
Vk
Intel: Leading the deep learning accelerator solutions
In this talk, we will discuss how Intel is leading the industry in developing AI accelerators and how new AI hardware like our Intel Nervana Neural Network Processors, paired with open-source software, will allow developers to harness the power of AI for…
Open-sourcing PyRobot to accelerate AI robotics research
🔗 Open-sourcing PyRobot to accelerate AI robotics research
Facebook AI is open-sourcing PyRobot, a lightweight, high-level interface that lets AI researchers get up and running with robotics experiments in just hours, with no specialized robotics expertise.
🔗 Open-sourcing PyRobot to accelerate AI robotics research
Facebook AI is open-sourcing PyRobot, a lightweight, high-level interface that lets AI researchers get up and running with robotics experiments in just hours, with no specialized robotics expertise.
Meta
Open-sourcing PyRobot to accelerate AI robotics research
Facebook AI is open-sourcing PyRobot, a lightweight, high-level interface that lets AI researchers get up and running with robotics experiments in just hours, with no specialized robotics expertise.
How to Implement GAN Hacks to Train Stable Generative Adversarial Networks
https://machinelearningmastery.com/how-to-code-generative-adversarial-network-hacks/
🔗 How to Implement GAN Hacks to Train Stable Generative Adversarial Networks
Generative Adversarial Networks, or GANs, are challenging to train. This is because the architecture involves both a generator and a discriminator model that compete in a zero-sum game. It means that improvements to one model come at the cost of a degrading of performance in the other model. The result is a very unstable training …
https://machinelearningmastery.com/how-to-code-generative-adversarial-network-hacks/
🔗 How to Implement GAN Hacks to Train Stable Generative Adversarial Networks
Generative Adversarial Networks, or GANs, are challenging to train. This is because the architecture involves both a generator and a discriminator model that compete in a zero-sum game. It means that improvements to one model come at the cost of a degrading of performance in the other model. The result is a very unstable training …
MachineLearningMastery.com
How to Implement GAN Hacks in Keras to Train Stable Models - MachineLearningMastery.com
Generative Adversarial Networks, or GANs, are challenging to train.
This is because the architecture involves both a generator and a discriminator model that compete in a zero-sum game. It means that improvements to one model come at the cost of a degrading…
This is because the architecture involves both a generator and a discriminator model that compete in a zero-sum game. It means that improvements to one model come at the cost of a degrading…
CNN Application-Detecting Car Exterior Damage(full implementable code)
🔗 CNN Application-Detecting Car Exterior Damage(full implementable code)
Recent advances in deep learning and computation infrastructure(cloud,GPUs etc.) have made computer vision applications leap forward: from…
🔗 CNN Application-Detecting Car Exterior Damage(full implementable code)
Recent advances in deep learning and computation infrastructure(cloud,GPUs etc.) have made computer vision applications leap forward: from…
Towards Data Science
CNN Application-Detecting Car Exterior Damage(full implementable code)
Recent advances in deep learning and computation infrastructure(cloud,GPUs etc.) have made computer vision applications leap forward: from…
🎥 Deep Q Learning w/ DQN - Reinforcement Learning p.5
👁 1 раз ⏳ 1940 сек.
👁 1 раз ⏳ 1940 сек.
Hello and welcome to the first video about Deep Q-Learning and Deep Q Networks, or DQNs. Deep Q Networks are the deep learning/neural network versi...
Vk
Deep Q Learning w/ DQN - Reinforcement Learning p.5
Hello and welcome to the first video about Deep Q-Learning and Deep Q Networks, or DQNs. Deep Q Networks are the deep learning/neural network versi...
Здравствуйте, мне очень срочно нужен начинающий дизайнер. Разработка 3 баннера для фото в профиль магазина. Сразу говорю у меня нет бюджета.... понимаю,что многие меня пошлют,но всё ж надеюсь на Человека,который сможет помочь
CNN Heat Maps: Saliency/Backpropagation
🔗 CNN Heat Maps: Saliency/Backpropagation
In this post I will describe the CNN visualization technique commonly referred to as “saliency mapping” or sometimes as “backpropagation”…
🔗 CNN Heat Maps: Saliency/Backpropagation
In this post I will describe the CNN visualization technique commonly referred to as “saliency mapping” or sometimes as “backpropagation”…
Towards Data Science
CNN Heat Maps: Saliency/Backpropagation
In this post I will describe the CNN visualization technique commonly referred to as “saliency mapping” or sometimes as “backpropagation”…
How to Increase the Impact of Your Machine Learning Model
🔗 How to Increase the Impact of Your Machine Learning Model
Hint: Balance your efforts.
🔗 How to Increase the Impact of Your Machine Learning Model
Hint: Balance your efforts.
Towards Data Science
How to Increase the Impact of Your Machine Learning Model
Hint: Balance your efforts.
The Uncanny Valley of Developing Technical Products
🔗 The Uncanny Valley of Developing Technical Products
In B2B software, one of the biggest selling objections is the “Build vs. Buy” argument. The objection is most prevalent at places with…
🔗 The Uncanny Valley of Developing Technical Products
In B2B software, one of the biggest selling objections is the “Build vs. Buy” argument. The objection is most prevalent at places with…
Towards Data Science
The Uncanny Valley of Developing Technical Products
In B2B software, one of the biggest selling objections is the “Build vs. Buy” argument. The objection is most prevalent at places with…
Top 10 Great Sites with Free Data Sets
🔗 Top 10 Great Sites with Free Data Sets
Places to find free, interesting datasets and leverage insights from.
🔗 Top 10 Great Sites with Free Data Sets
Places to find free, interesting datasets and leverage insights from.
Towards Data Science
Top 10 Great Sites with Free Data Sets
Places to find free, interesting datasets and leverage insights from.