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📐 ML Fundamentals

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

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These books will help you learn machine learning
📐 ML Fundamentals
These books will help you learn machine learning
Daniel Bourke Beginner 6y ago
Supervised Learning: Crash Course AI #2
📐 ML Fundamentals
Supervised Learning: Crash Course AI #2
CrashCourse Beginner 6y ago
Model Understanding and Business Reality (TensorFlow Extended)
📐 ML Fundamentals
Model Understanding and Business Reality (TensorFlow Extended)
TensorFlow Beginner 6y ago
Tesla is Going to Win Level 5 - George Hotz  | AI Podcast Clips
📐 ML Fundamentals
Tesla is Going to Win Level 5 - George Hotz | AI Podcast Clips
Lex Fridman Beginner 6y ago
The Problem with Black Boxes with Cynthia Rudin - TWIML Talk #290
📐 ML Fundamentals
The Problem with Black Boxes with Cynthia Rudin - TWIML Talk #290
The TWIML AI Podcast with Sam Charrington Beginner 6y ago
Tutorial 37: Entropy In Decision Tree Intuition
📐 ML Fundamentals
Tutorial 37: Entropy In Decision Tree Intuition
Krish Naik Beginner 6y ago
Manifold Mixup: Better Representations by Interpolating Hidden States
📐 ML Fundamentals
Manifold Mixup: Better Representations by Interpolating Hidden States
Yannic Kilcher Beginner 6y ago
What is Cross Validation and its types?
📐 ML Fundamentals
What is Cross Validation and its types?
Krish Naik Beginner 6y ago
Troubleshooting and Iterating ML Models with Lee Redden (2019)
📐 ML Fundamentals
Troubleshooting and Iterating ML Models with Lee Redden (2019)
Weights & Biases Beginner 6y ago
Applied Deep Learning - Troubleshooting and Debugging with Josh Tobin (2019)
📐 ML Fundamentals
Applied Deep Learning - Troubleshooting and Debugging with Josh Tobin (2019)
Weights & Biases Beginner 6y ago
University of Illinois Master of Computer Science (& MCS-DS) - a top-ranked degree
📐 ML Fundamentals
University of Illinois Master of Computer Science (& MCS-DS) - a top-ranked degree
Coursera Beginner 6y ago
Distributed Processing and Components (TensorFlow Extended)
📐 ML Fundamentals
Distributed Processing and Components (TensorFlow Extended)
TensorFlow Beginner 6y ago
TWiML x Fast.ai Deep Learning Part 2 Study Group - Lesson 5
📐 ML Fundamentals
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
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
CNN Training Loop Refactoring - Simultaneous Hyperparameter Testing
📐 ML Fundamentals
CNN Training Loop Refactoring - Simultaneous Hyperparameter Testing
deeplizard Beginner 6y ago
Training Loop Run Builder - Neural Network Experimentation Code
📐 ML Fundamentals
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
Tutorial 19- Training Artificial Neural Network using Google Colab GPU
📐 ML Fundamentals
Tutorial 19- Training Artificial Neural Network using Google Colab GPU
Krish Naik Beginner 6y ago
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
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
Developing a brain atlas using deep learning with Theofanis Karayannis - TWIML Talk #287
📐 ML Fundamentals
Developing a brain atlas using deep learning with Theofanis Karayannis - TWIML Talk #287
The TWIML AI Podcast with Sam Charrington 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
Why do I need metadata? (TensorFlow Extended)
📐 ML Fundamentals
Why do I need metadata? (TensorFlow Extended)
TensorFlow 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
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
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
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
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
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
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
Image to LaTeX - Applied Deep Learning Fellowship (2019)
Weights & Biases Beginner 6y ago
How do TFX pipelines work? (TensorFlow Extended)
📐 ML Fundamentals
How do TFX pipelines work? (TensorFlow Extended)
TensorFlow Beginner 6y ago
Stack vs Concat in PyTorch, TensorFlow & NumPy - Deep Learning Tensor Ops
📐 ML Fundamentals
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
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