Light on Math ML: Intuitive Guide to Understanding GloVe Embeddings
🔗 Light on Math ML: Intuitive Guide to Understanding GloVe Embeddings
Understanding theory behind GloVe and Keras implementation!
🔗 Light on Math ML: Intuitive Guide to Understanding GloVe Embeddings
Understanding theory behind GloVe and Keras implementation!
Towards Data Science
Intuitive Guide to Understanding GloVe Embeddings
Understanding theory behind GloVe and Keras implementation!
Markov Chains and HMMs
🔗 Markov Chains and HMMs
In this article, we’ll focus on Markov Models, where an when they should be used, and Hidden Markov Models. This article will focus on the…
🔗 Markov Chains and HMMs
In this article, we’ll focus on Markov Models, where an when they should be used, and Hidden Markov Models. This article will focus on the…
Towards Data Science
Markov Chains and HMMs
In this article, we’ll focus on Markov Models, where an when they should be used, and Hidden Markov Models. This article will focus on the…
🎥 Machine Learning: Dimensionality Reduction With Principal Component Analysis
👁 2 раз ⏳ 848 сек.
👁 2 раз ⏳ 848 сек.
In this video, we cover how to reduce the number of features using principal component analysis.
Video explaining PCA in depth:
https://www.youtube.com/watch?v=g-Hb26agBFg&t=1421s
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Machine Learning: Dimensionality Reduction With Principal Component Analysis
In this video, we cover how to reduce the number of features using principal component analysis.
Video explaining PCA in depth:
https://www.youtube.com/watch?v=g-Hb26agBFg&t=1421s
CONNECT
Site: https://coryjmaklin.com/
Medium: https://medium.com/@corymaklin…
Video explaining PCA in depth:
https://www.youtube.com/watch?v=g-Hb26agBFg&t=1421s
CONNECT
Site: https://coryjmaklin.com/
Medium: https://medium.com/@corymaklin…
🎥 How to Code Deep Q Learning in Tensorflow (Tutorial)
👁 1 раз ⏳ 2604 сек.
👁 1 раз ⏳ 2604 сек.
Deep Q Learning w/ Pytorch: https://youtu.be/RfNxXlO6BiA
Where to find data for Deep Learning: https://youtu.be/9oW3WfKk6d4
#Tensorflow #DeepQLearning #OpenAIGym
In today's tutorial we are going to code a Deep Q Network, in the Tensorflow framework, to play the game Breakout, from the OpenAI Gym's Atari library.
We'll split our code into 2 classes: One to handle the neural networks for deep Q learning, and another to handle the agent's functionality, like memory and learning.
My model is still trainingVk
How to Code Deep Q Learning in Tensorflow (Tutorial)
Deep Q Learning w/ Pytorch: https://youtu.be/RfNxXlO6BiA
Where to find data for Deep Learning: https://youtu.be/9oW3WfKk6d4
#Tensorflow #DeepQLearning #OpenAIGym
In today's tutorial we are going to code a Deep Q Network, in the Tensorflow framework, to…
Where to find data for Deep Learning: https://youtu.be/9oW3WfKk6d4
#Tensorflow #DeepQLearning #OpenAIGym
In today's tutorial we are going to code a Deep Q Network, in the Tensorflow framework, to…
🎥 Machine Learning with Scikit-Learn Python | K-fold Cross-validation
👁 1 раз ⏳ 705 сек.
👁 1 раз ⏳ 705 сек.
#normalizednerd #python #scikitlearn
In this video, I've explained the concept of k-fold cross-validation and how to implement it in the popular library known as sci-kit learn. Stay tuned more sci-kit learn videos are coming!
Previous video on confusion matrix -
https://www.youtube.com/watch?v=Dr7lbdgzpWM
For more videos please subscribe -
http://bit.ly/normalizedNERD
Playlist Learn Scikit Learn -
https://www.youtube.com/watch?v=mmnLkKYvGG8&list=PLM8wYQRetTxDHDWU-YBPfKXV3G0TKXvpy
Data source -
https:Vk
Machine Learning with Scikit-Learn Python | K-fold Cross-validation
#normalizednerd #python #scikitlearn
In this video, I've explained the concept of k-fold cross-validation and how to implement it in the popular library known as sci-kit learn. Stay tuned more sci-kit learn videos are coming!
Previous video on confusion…
In this video, I've explained the concept of k-fold cross-validation and how to implement it in the popular library known as sci-kit learn. Stay tuned more sci-kit learn videos are coming!
Previous video on confusion…
Python’s One Liner graph creation library with animations Hans Rosling Style
https://towardsdatascience.com/pythons-one-liner-graph-creation-library-with-animations-hans-rosling-style-f2cb50490396?source=collection_home---4------2---------------------
🔗 Python’s One Liner graph creation library with animations Hans Rosling Style
Animation, One Line graphs. It has it all
https://towardsdatascience.com/pythons-one-liner-graph-creation-library-with-animations-hans-rosling-style-f2cb50490396?source=collection_home---4------2---------------------
🔗 Python’s One Liner graph creation library with animations Hans Rosling Style
Animation, One Line graphs. It has it all
A Data Science Workflow Canvas to Kickstart Your Projects
🔗 A Data Science Workflow Canvas to Kickstart Your Projects
Use this guide to help you complete your data science projects.
🔗 A Data Science Workflow Canvas to Kickstart Your Projects
Use this guide to help you complete your data science projects.
Towards Data Science
A Data Science Workflow Canvas to Kickstart Your Projects
Use this guide to help you complete your data science projects.
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 ...