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📐 ML Fundamentals

Neural networks, backpropagation, gradient descent — the maths behind AI

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Tutorial 18- Hyper parameter Tuning To Decide Number of Hidden Layers in Neural Network
ML Fundamentals
Tutorial 18- Hyper parameter Tuning To Decide Number of Hidden Layers in Neural Network
Krish Naik Beginner 6y ago
Tutorial 17- Create Artificial Neural Network using Weight Initialization Tricks
ML Fundamentals
Tutorial 17- Create Artificial Neural Network using Weight Initialization Tricks
Krish Naik Beginner 6y ago
TWiML x Fast.ai Deep Learning Part 2 Study Group - Lesson 5
ML Fundamentals ⚡ AI Lesson
TWiML x Fast.ai Deep Learning Part 2 Study Group - Lesson 5
The TWIML AI Podcast with Sam Charrington Beginner 6y ago
Crash Course Artificial Intelligence Preview
ML Fundamentals
Crash Course Artificial Intelligence Preview
CrashCourse Beginner 6y ago
Rage Inside The Machine | Robert Elliott Smith | Talks at Google
ML Fundamentals
Rage Inside The Machine | Robert Elliott Smith | Talks at Google
Talks at Google Beginner 6y ago
Developing a brain atlas using deep learning with Theofanis Karayannis - TWIML Talk #287
ML Fundamentals ⚡ AI Lesson
Developing a brain atlas using deep learning with Theofanis Karayannis - TWIML Talk #287
The TWIML AI Podcast with Sam Charrington Beginner 6y ago
The Projects You Should Do To Get A Data Science Job
ML Fundamentals
The Projects You Should Do To Get A Data Science Job
Ken Jee Beginner 6y ago
Why do I need metadata? (TensorFlow Extended)
ML Fundamentals ⚡ AI Lesson
Why do I need metadata? (TensorFlow Extended)
TensorFlow Beginner 6y ago
AI Governance & Risk Management | Kartik Hosanagar | Talks at Google
ML Fundamentals
AI Governance & Risk Management | Kartik Hosanagar | Talks at Google
Talks at Google Beginner 6y ago
Snorkel: Programming Training Data with Paroma Varma of Stanford University (2019)
ML Fundamentals
Snorkel: Programming Training Data with Paroma Varma of Stanford University (2019)
Weights & Biases Beginner 6y ago
Applied Deep Learning - Data Management with Josh Tobin (2019)
ML Fundamentals
Applied Deep Learning - Data Management with Josh Tobin (2019)
Weights & Biases Beginner 6y ago
CNN Training Loop Refactoring - Simultaneous Hyperparameter Testing
ML Fundamentals ⚡ AI Lesson
CNN Training Loop Refactoring - Simultaneous Hyperparameter Testing
deeplizard Beginner 6y ago
Training Loop Run Builder - Neural Network Experimentation Code
ML Fundamentals ⚡ AI Lesson
Training Loop Run Builder - Neural Network Experimentation Code
deeplizard Beginner 6y ago
Jetson Nano review and Object Detection ft. TensorRT
ML Fundamentals
Jetson Nano review and Object Detection ft. TensorRT
sentdex Beginner 6y ago
How do TFX pipelines work? (TensorFlow Extended)
ML Fundamentals ⚡ AI Lesson
How do TFX pipelines work? (TensorFlow Extended)
TensorFlow Beginner 6y ago
Catastrophic Forgetting
ML Fundamentals ⚡ AI Lesson
Catastrophic Forgetting
Data Skeptic Beginner 6y ago
Learn Computer Vision
ML Fundamentals
Learn Computer Vision
Siraj Raval Beginner 6y ago
Fake Voice Text to Speech Deep Learning ft. Elon Musk, Trump, Obama, and Joe Rogan
ML Fundamentals
Fake Voice Text to Speech Deep Learning ft. Elon Musk, Trump, Obama, and Joe Rogan
sentdex Beginner 6y ago
Image Data Augmentation for Deep Learning
ML Fundamentals
Image Data Augmentation for Deep Learning
Connor Shorten Beginner 6y ago
Tutorial 4- Book Recommendation using Collaborative Filtering
ML Fundamentals
Tutorial 4- Book Recommendation using Collaborative Filtering
Krish Naik Beginner 6y ago
Tutorial 16- AdaDelta and RMSprop optimizer
ML Fundamentals
Tutorial 16- AdaDelta and RMSprop optimizer
Krish Naik Beginner 6y ago
Tutorial 3- Book Recommendation System using Pearson Correlation
ML Fundamentals
Tutorial 3- Book Recommendation System using Pearson Correlation
Krish Naik Beginner 6y ago
Tutorial 2- Creating Recommendation Systems using Nearest Neighbors
ML Fundamentals
Tutorial 2- Creating Recommendation Systems using Nearest Neighbors
Krish Naik Beginner 6y ago
Tutorial 15- Adagrad Optimizers in Neural Network
ML Fundamentals
Tutorial 15- Adagrad Optimizers in Neural Network
Krish Naik Beginner 6y ago
Tutorial 14- Stochastic Gradient Descent with Momentum
ML Fundamentals
Tutorial 14- Stochastic Gradient Descent with Momentum
Krish Naik Beginner 6y ago
Tutorial 13- Global Minima and Local Minima in Depth Understanding
ML Fundamentals
Tutorial 13- Global Minima and Local Minima in Depth Understanding
Krish Naik Beginner 6y ago
Tutorial 12- Stochastic Gradient Descent vs Gradient Descent
ML Fundamentals
Tutorial 12- Stochastic Gradient Descent vs Gradient Descent
Krish Naik Beginner 6y ago
TWiML x Fast.ai Deep Learning Part 2 Study Group - Lesson 4
ML Fundamentals ⚡ AI Lesson
TWiML x Fast.ai Deep Learning Part 2 Study Group - Lesson 4
The TWIML AI Podcast with Sam Charrington Beginner 6y ago
Tutorial 11- Various Weight Initialization Techniques in Neural Network
ML Fundamentals
Tutorial 11- Various Weight Initialization Techniques in Neural Network
Krish Naik Beginner 6y ago
TWIMLcon: AI Platforms Keynotes Announced!
ML Fundamentals ⚡ AI Lesson
TWIMLcon: AI Platforms Keynotes Announced!
The TWIML AI Podcast with Sam Charrington Beginner 6y ago
Tutorial 10- Activation Functions Rectified Linear Unit(relu) and Leaky Relu Part 2
ML Fundamentals
Tutorial 10- Activation Functions Rectified Linear Unit(relu) and Leaky Relu Part 2
Krish Naik Beginner 6y ago
Tutorial 9- Drop Out Layers in Multi Neural Network
ML Fundamentals
Tutorial 9- Drop Out Layers in Multi Neural Network
Krish Naik Beginner 6y ago
17. Build and Deploy an Emotion Classifier (2019)
ML Fundamentals
17. Build and Deploy an Emotion Classifier (2019)
Weights & Biases Beginner 6y ago
Tutorial 7- Vanishing Gradient Problem
ML Fundamentals
Tutorial 7- Vanishing Gradient Problem
Krish Naik Beginner 6y ago
Deep Q-Network Image Processing and Environment Management - Reinforcement Learning Code Project
ML Fundamentals ⚡ AI Lesson
Deep Q-Network Image Processing and Environment Management - Reinforcement Learning Code Project
deeplizard Beginner 6y ago
TWiML x Fast.ai Deep Learning Part 2 Study Group - Lesson 3
ML Fundamentals ⚡ AI Lesson
TWiML x Fast.ai Deep Learning Part 2 Study Group - Lesson 3
The TWIML AI Podcast with Sam Charrington Beginner 6y ago
Image to LaTeX - Applied Deep Learning Fellowship (2019)
ML Fundamentals ⚡ AI Lesson
Image to LaTeX - Applied Deep Learning Fellowship (2019)
Weights & Biases Beginner 6y ago
Stack vs Concat in PyTorch, TensorFlow & NumPy - Deep Learning Tensor Ops
ML Fundamentals ⚡ AI Lesson
Stack vs Concat in PyTorch, TensorFlow & NumPy - Deep Learning Tensor Ops
deeplizard Beginner 6y ago
Tutorial 3-Activation Functions Part-1
ML Fundamentals
Tutorial 3-Activation Functions Part-1
Krish Naik Beginner 6y ago
Tutorial 2- How does Neural Network Work
ML Fundamentals
Tutorial 2- How does Neural Network Work
Krish Naik Beginner 6y ago
Tutorial 1- Introduction to Neural Network and Deep Learning
ML Fundamentals
Tutorial 1- Introduction to Neural Network and Deep Learning
Krish Naik Beginner 6y ago
Applied Deep Learning Fellowship Overview and Project Selection with Josh Tobin (2019)
ML Fundamentals
Applied Deep Learning Fellowship Overview and Project Selection with Josh Tobin (2019)
Weights & Biases Beginner 6y ago
Inspiring New Machine Learning Platforms w/ Bioelectric Computation with Michael Levin - TWiML...
ML Fundamentals ⚡ AI Lesson
Inspiring New Machine Learning Platforms w/ Bioelectric Computation with Michael Levin - TWiML...
The TWIML AI Podcast with Sam Charrington Beginner 6y ago
What exactly is this TFX thing? (TensorFlow Extended)
ML Fundamentals ⚡ AI Lesson
What exactly is this TFX thing? (TensorFlow Extended)
TensorFlow Beginner 6y ago
Build Deep Q-Network - Reinforcement Learning Code Project
ML Fundamentals ⚡ AI Lesson
Build Deep Q-Network - Reinforcement Learning Code Project
deeplizard Beginner 6y ago
TensorBoard with PyTorch - Visualize Deep Learning Metrics
ML Fundamentals ⚡ AI Lesson
TensorBoard with PyTorch - Visualize Deep Learning Metrics
deeplizard Beginner 6y ago
CNN Confusion Matrix with PyTorch - Neural Network Programming
ML Fundamentals ⚡ AI Lesson
CNN Confusion Matrix with PyTorch - Neural Network Programming
deeplizard Beginner 6y ago
My Biggest Challenge With Programming (Q&A #11)
ML Fundamentals
My Biggest Challenge With Programming (Q&A #11)
sentdex Beginner 6y ago
📚 Coursera Courses Opens on Coursera · Free to audit
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Introduction to Data Management
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Self-paced
Introduction to Data Management
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Algoritmos de negociación basados en machine learning​
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Self-paced
Algoritmos de negociación basados en machine learning​
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Developing Explainable AI (XAI)
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Self-paced
Developing Explainable AI (XAI)
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Smart Analytics, Machine Learning, and AI on GCP - Italiano
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Self-paced
Smart Analytics, Machine Learning, and AI on GCP - Italiano
Opens on Coursera ↗
Remote Sensing Image Acquisition, Analysis and Applications
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Self-paced
Remote Sensing Image Acquisition, Analysis and Applications
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Planning a Machine Learning Project
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Self-paced
Planning a Machine Learning Project
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