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📐 ML Fundamentals

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

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Learnable parameters ("trainable params") in a Keras Convolutional Neural Network
ML Fundamentals
Learnable parameters ("trainable params") in a Keras Convolutional Neural Network
deeplizard Beginner 7y ago
Differential Privacy Theory & Practice with Aaron Roth - #132
ML Fundamentals
Differential Privacy Theory & Practice with Aaron Roth - #132
The TWIML AI Podcast with Sam Charrington Beginner 7y ago
Neural Voice Cloning
ML Fundamentals
Neural Voice Cloning
CodeEmporium Beginner 7y ago
Using code to interrogate textual data | I’m a STRING. Ask me anything! | Coding tutorial
ML Fundamentals
Using code to interrogate textual data | I’m a STRING. Ask me anything! | Coding tutorial
deeplizard Beginner 7y ago
Data Science & Statistics: Matrix recycling in R
ML Fundamentals
Data Science & Statistics: Matrix recycling in R
365 Data Science Beginner 7y ago
Data frames in R - Transforming data PART I
ML Fundamentals
Data frames in R - Transforming data PART I
365 Data Science Beginner 7y ago
2001 - A Space Odyssey: Crash Course Film Criticism #15
ML Fundamentals
2001 - A Space Odyssey: Crash Course Film Criticism #15
CrashCourse Beginner 7y ago
Neural Network Prototyping On the Go
ML Fundamentals
Neural Network Prototyping On the Go
ColdFusion Beginner 7y ago
Machine Learning Fundamentals: Cross Validation
ML Fundamentals
Machine Learning Fundamentals: Cross Validation
StatQuest with Josh Starmer Beginner 7y ago
Geoffrey Hinton: What are you excited about in deep learning?
ML Fundamentals
Geoffrey Hinton: What are you excited about in deep learning?
Lex Fridman Beginner 7y ago
Conditional jump instructions
ML Fundamentals
Conditional jump instructions
Ben Eater Beginner 7y ago
Using the tf.data API to build input pipelines (TensorFlow Meets)
ML Fundamentals
Using the tf.data API to build input pipelines (TensorFlow Meets)
TensorFlow Beginner 7y ago
Complex Math Results - Unconventional Neural Networks p.12
ML Fundamentals
Complex Math Results - Unconventional Neural Networks p.12
sentdex Beginner 7y ago
More Complex Math with Deep Learning - Unconventional Neural Networks p.11
ML Fundamentals
More Complex Math with Deep Learning - Unconventional Neural Networks p.11
sentdex Beginner 7y ago
Teaching TensorFlow for Deep Learning at Stanford University (TensorFlow Meets)
ML Fundamentals
Teaching TensorFlow for Deep Learning at Stanford University (TensorFlow Meets)
TensorFlow Beginner 7y ago
Moonlight: Crash Course Film Criticism #13
ML Fundamentals
Moonlight: Crash Course Film Criticism #13
CrashCourse Beginner 7y ago
Univa's Project Tortuga and the Intersections of Kubernetes and HPC Workloads
ML Fundamentals
Univa's Project Tortuga and the Intersections of Kubernetes and HPC Workloads
The New Stack Beginner 7y ago
Learnable Parameters in a Convolutional Neural Network (CNN) explained
ML Fundamentals
Learnable Parameters in a Convolutional Neural Network (CNN) explained
deeplizard Beginner 7y ago
Data frames in R - Import a CSV in R
ML Fundamentals
Data frames in R - Import a CSV in R
365 Data Science Beginner 7y ago
Data frames in R - Exporting data in R
ML Fundamentals
Data frames in R - Exporting data in R
365 Data Science Beginner 7y ago
Data Frames in R - Subsetting a data frame
ML Fundamentals
Data Frames in R - Subsetting a data frame
365 Data Science Beginner 7y ago
Data Science & Statistics: Matrix arithmetic in R
ML Fundamentals
Data Science & Statistics: Matrix arithmetic in R
365 Data Science Beginner 7y ago
Data Science & Statistics: Indexing an element from a matrix
ML Fundamentals
Data Science & Statistics: Indexing an element from a matrix
365 Data Science Beginner 7y ago
Data Frames in R - Extending a data frame
ML Fundamentals
Data Frames in R - Extending a data frame
365 Data Science Beginner 7y ago
Data Science & Statistics: Creating a matrix in R FASTER
ML Fundamentals
Data Science & Statistics: Creating a matrix in R FASTER
365 Data Science Beginner 7y ago
Data Science & Statistics: Creating a Matrix in R
ML Fundamentals
Data Science & Statistics: Creating a Matrix in R
365 Data Science Beginner 7y ago
Data frames - Importing data in R
ML Fundamentals
Data frames - Importing data in R
365 Data Science Beginner 7y ago
Code that looks cool | Hollywood code | Saving and running programs quick promo
ML Fundamentals
Code that looks cool | Hollywood code | Saving and running programs quick promo
deeplizard Beginner 7y ago
Getting and setting data on a web page with JavaScript | Coding tutorial
ML Fundamentals
Getting and setting data on a web page with JavaScript | Coding tutorial
deeplizard Beginner 7y ago
Learnable parameters ("trainable params") in a Keras model
ML Fundamentals
Learnable parameters ("trainable params") in a Keras model
deeplizard Beginner 7y ago
Learnable Parameters in an Artificial Neural Network explained
ML Fundamentals
Learnable Parameters in an Artificial Neural Network explained
deeplizard Beginner 7y ago
Saving and running programs explained | Hello world for programming beginners (Part 2)
ML Fundamentals
Saving and running programs explained | Hello world for programming beginners (Part 2)
deeplizard Beginner 7y ago
Hello world explained | First interactive program for programming beginners (Part 1)
ML Fundamentals
Hello world explained | First interactive program for programming beginners (Part 1)
deeplizard Beginner 7y ago
Initializing and Accessing Bias with Keras
ML Fundamentals
Initializing and Accessing Bias with Keras
deeplizard Beginner 7y ago
Bias in an Artificial Neural Network explained | How bias impacts training
ML Fundamentals
Bias in an Artificial Neural Network explained | How bias impacts training
deeplizard Beginner 7y ago
Command line interfaces explained | Introducing CLIs for programming beginners
ML Fundamentals
Command line interfaces explained | Introducing CLIs for programming beginners
deeplizard Beginner 7y ago
Doing Math with Deep Learning (Addition)- Unconventional Neural Networks p.10
ML Fundamentals
Doing Math with Deep Learning (Addition)- Unconventional Neural Networks p.10
sentdex Beginner 7y ago
Deep Dream Video- Unconventional Neural Networks p.9
ML Fundamentals
Deep Dream Video- Unconventional Neural Networks p.9
sentdex Beginner 7y ago
Deep Dream Frames- Unconventional Neural Networks p.8
ML Fundamentals
Deep Dream Frames- Unconventional Neural Networks p.8
sentdex Beginner 7y ago
365 Data Science Online Program
ML Fundamentals
365 Data Science Online Program
365 Data Science Beginner 7y ago
Numerical data explained | Introducing digits, range and precision for programming beginners
ML Fundamentals
Numerical data explained | Introducing digits, range and precision for programming beginners
deeplizard Beginner 7y ago
Deep Dream - Unconventional Neural Networks p.7
ML Fundamentals
Deep Dream - Unconventional Neural Networks p.7
sentdex Beginner 7y ago
Jeff Dean, Head of AI at Google discusses the impact of ML (TensorFlow Meets)
ML Fundamentals
Jeff Dean, Head of AI at Google discusses the impact of ML (TensorFlow Meets)
TensorFlow Beginner 7y ago
TensorFlow Dev Summit 2018 Highlights
ML Fundamentals
TensorFlow Dev Summit 2018 Highlights
TensorFlow Beginner 7y ago
Drawing a Number by Request with Generative Model - Unconventional Neural Networks p.6
ML Fundamentals
Drawing a Number by Request with Generative Model - Unconventional Neural Networks p.6
sentdex Beginner 7y ago
Classification Generator Testing Attempt - Unconventional Neural Networks p.5
ML Fundamentals
Classification Generator Testing Attempt - Unconventional Neural Networks p.5
sentdex Beginner 7y ago
Classification Generator Training Attempt - Unconventional Neural Networks p.4
ML Fundamentals
Classification Generator Training Attempt - Unconventional Neural Networks p.4
sentdex Beginner 7y ago
Generating with MNIST - Unconventional Neural Networks p.3
ML Fundamentals
Generating with MNIST - Unconventional Neural Networks p.3
sentdex Beginner 8y ago
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Open Source Programming - Master's
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Open Source Programming - Master's
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Ethical Issues in Data Science
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Ethical Issues in Data Science
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AI Materials
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AI Materials
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Calculus through Data & Modelling: Techniques of Integration
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Calculus through Data & Modelling: Techniques of Integration
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Introduction to Machine Learning
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Introduction to Machine Learning
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Mathematics for Machine Learning: PCA
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Mathematics for Machine Learning: PCA
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