📐 ML Fundamentals

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

ML Fundamentals

Geoffrey Hinton: What are you excited about in deep learning?

Lex Fridman Beginner 8y ago

ML Fundamentals ⚡ AI Lesson

Conditional jump instructions

Ben Eater Beginner 8y ago

ML Fundamentals ⚡ AI Lesson

Saving and running programs explained | Hello world for programming beginners (Part 2)

deeplizard Beginner 8y ago

ML Fundamentals ⚡ AI Lesson

Hello world explained | First interactive program for programming beginners (Part 1)

deeplizard Beginner 8y ago

ML Fundamentals ⚡ AI Lesson

Using the tf.data API to build input pipelines (TensorFlow Meets)

TensorFlow Beginner 8y ago

ML Fundamentals

Complex Math Results - Unconventional Neural Networks p.12

sentdex Beginner 8y ago

ML Fundamentals

More Complex Math with Deep Learning - Unconventional Neural Networks p.11

sentdex Beginner 8y ago

ML Fundamentals ⚡ AI Lesson

Teaching TensorFlow for Deep Learning at Stanford University (TensorFlow Meets)

TensorFlow Beginner 8y ago

ML Fundamentals

365 Data Science Online Program

365 Data Science Beginner 8y ago

ML Fundamentals

Moonlight: Crash Course Film Criticism #13

CrashCourse Beginner 8y ago

ML Fundamentals ⚡ AI Lesson

Univa's Project Tortuga and the Intersections of Kubernetes and HPC Workloads

The New Stack Beginner 8y ago

ML Fundamentals

deeplearning.ai's Heroes of Deep Learning: Yann LeCun

DeepLearningAI Beginner 8y ago

ML Fundamentals

TensorFlow.js Quick Start

Fireship Beginner 8y ago

ML Fundamentals

Systems and Software for Machine Learning at Scale with Jeff Dean - #124

The TWIML AI Podcast with Sam Charrington Beginner 8y ago

ML Fundamentals

CPU flags register

Ben Eater Beginner 8y ago

ML Fundamentals

Three Colors - Blue: Crash Course Film Criticism #11

CrashCourse Beginner 8y ago

ML Fundamentals

Machine Learning Tutorial - Making a recommendation engine IN THE BROWSER

LearnCode.academy Beginner 8y ago

ML Fundamentals

A Gentle Introduction to Data Science - talk by Marc Garcia

freeCodeCamp.org Beginner 8y ago

ML Fundamentals ⚡ AI Lesson

Initializing and Accessing Bias with Keras

deeplizard Beginner 8y ago

ML Fundamentals ⚡ AI Lesson

Bias in an Artificial Neural Network explained | How bias impacts training

deeplizard Beginner 8y ago

ML Fundamentals ⚡ AI Lesson

Command line interfaces explained | Introducing CLIs for programming beginners

deeplizard Beginner 8y ago

ML Fundamentals

Doing Math with Deep Learning (Addition)- Unconventional Neural Networks p.10

sentdex Beginner 8y ago

ML Fundamentals

Deep Dream Video- Unconventional Neural Networks p.9

sentdex Beginner 8y ago

ML Fundamentals ⚡ AI Lesson

Deep Dream Frames- Unconventional Neural Networks p.8

sentdex Beginner 8y ago

ML Fundamentals ⚡ AI Lesson

Numerical data explained | Introducing digits, range and precision for programming beginners

deeplizard Beginner 8y ago

ML Fundamentals

Deep Dream - Unconventional Neural Networks p.7

sentdex Beginner 8y ago

ML Fundamentals ⚡ AI Lesson

Jeff Dean, Head of AI at Google discusses the impact of ML (TensorFlow Meets)

TensorFlow Beginner 8y ago

ML Fundamentals ⚡ AI Lesson

TensorFlow Dev Summit 2018 Highlights

TensorFlow Beginner 8y ago

ML Fundamentals

Drawing a Number by Request with Generative Model - Unconventional Neural Networks p.6

sentdex Beginner 8y ago

ML Fundamentals

Classification Generator Testing Attempt - Unconventional Neural Networks p.5

sentdex Beginner 8y ago

ML Fundamentals

Classification Generator Training Attempt - Unconventional Neural Networks p.4

sentdex Beginner 8y ago

ML Fundamentals ⚡ AI Lesson

Generating with MNIST - Unconventional Neural Networks p.3

sentdex Beginner 8y ago

ML Fundamentals ⚡ AI Lesson

Textual data explained | Introducing characters, strings, and encodings for programming beginners

deeplizard Beginner 8y ago

ML Fundamentals

Generating Pythonic code with Neural Network - Unconventional Neural Networks p.2

sentdex Beginner 8y ago

ML Fundamentals

Generative Model Basics - Unconventional Neural Networks p.1

sentdex Beginner 8y ago

ML Fundamentals

A Deep Dream of a Neural Network

sentdex Beginner 8y ago

ML Fundamentals ⚡ AI Lesson

TensorFlow Dev Summit 2018 - Livestream

TensorFlow Beginner 8y ago

ML Fundamentals ⚡ AI Lesson

TensorFlow Hub (TensorFlow Dev Summit 2018)

TensorFlow Beginner 8y ago

ML Fundamentals ⚡ AI Lesson

Searching Over Ideas (TensorFlow Dev Summit 2018)

TensorFlow Beginner 8y ago

ML Fundamentals ⚡ AI Lesson

TensorFlow Lite (TensorFlow Dev Summit 2018)

TensorFlow Beginner 8y ago

ML Fundamentals ⚡ AI Lesson

Distributed TensorFlow (TensorFlow Dev Summit 2018)

TensorFlow Beginner 8y ago

ML Fundamentals ⚡ AI Lesson

The Practitioner's Guide with TF High Level APIs (TensorFlow Dev Summit 2018)

TensorFlow Beginner 8y ago

ML Fundamentals ⚡ AI Lesson

Machine Learning in JavaScript (TensorFlow Dev Summit 2018)

TensorFlow Beginner 8y ago

ML Fundamentals ⚡ AI Lesson

tf.data: Fast, flexible, and easy-to-use input pipelines (TensorFlow Dev Summit 2018)

TensorFlow Beginner 8y ago

ML Fundamentals ⚡ AI Lesson

Keynote (TensorFlow Dev Summit 2018)

TensorFlow Beginner 8y ago

ML Fundamentals ⚡ AI Lesson

TensorFlow: an ML platform for solving impactful and challenging problems

TensorFlow Beginner 8y ago

ML Fundamentals ⚡ AI Lesson

Weight Initialization explained | A way to reduce the vanishing gradient problem

deeplizard Beginner 8y ago

ML Fundamentals ⚡ AI Lesson

Data explained | An introduction to data for programming beginners

deeplizard Beginner 8y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Self-paced

Fundamentals of Machine Learning for Supply Chain

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Preparing for DP-900: Microsoft Azure Data Fundamentals Exam

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Self-paced

Snowflake for Data Science: Intro to Snowpark ML for Python

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Self-paced

Artificial Intelligence in Social Media Analytics

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Self-paced

ML Concepts, Models & Workflow Essentials

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📚 Coursera Course ↗

Self-paced

Introduction to Generative AI - Português Brasileiro

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📚 Coursera Course ↗

Self-paced

AI-900 MS Azure AI Fundamentals

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📚 Coursera Course ↗

Self-paced

Exploratory Data Analysis for Machine Learning

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📚 Coursera Course ↗

Self-paced

Physics 102 - Electric Charges and Fields

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Self-paced

Create Image Captioning Models

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Self-paced

Probabilistic Graphical Models: A Compact Introduction

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📚 Coursera Course ↗

Self-paced

Machine Learning Introduction for Everyone

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📚 Coursera Course ↗

Self-paced

Convolutional Neural Networks in TensorFlow

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📚 Coursera Course ↗

Self-paced

Harden AI: Secure Your ML Pipelines

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📚 Coursera Course ↗

Self-paced

Titanic Survival Prediction Using Machine Learning

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📚 Coursera Course ↗

Self-paced

Convolutional Neural Networks

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📚 Coursera Course ↗

Self-paced

Training, Evaluating, and Monitoring Machine Learning Models

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Self-paced

Amazon Kinesis Video Streams - Getting Started

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