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Learn Deep Learning online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
Google Cloud
In this lab you train, evaluate, and deploy a machine learning model to predict a baby’s weight. You then send requests to the model to make online predictions. This lab is part of a series of labs on processing scientific data.
In this live stream, I begin the long process of building a neural network library. I cover the concept of a "multi-layer perceptron" as well as linear algebra / matrix math. Timestamps: 30:13 - Intro to Neural Networks 41:38 - Multilayered Perceptron Part 1 1:08:18 - Multilayered Perceptron Part 2…
Alison
Supervised learning models identify and mitigate cybersecurity threats by leveraging labeled datasets to train algorithms. In this course, you’ll explore a range of machine learning and deep learning tools and techniques, including supervised and unsupervised learning, to effectively detect, preven…
Learn Ventures
Learn the theoretical foundations of Deep Learning through practical Python code.
There is a audio sync problem at the beginning of the video. To avoid it, skip to 13:10 Happy New Year! As promised, with the new year comes the continuation of my series on neural networks. https://www.youtube.com/playlist?list=PLRqwX-V7Uu6aCibgK1PTWWu9by6XFdCfh 29:30 - Using ES6 syntax with previ…
This live stream continues my series on neural networks: Matrix class improvements and the "feed forward" algorithm. I also attempt a coding challenge on image stippling / dithering. 💻 Dithering challenge https://thecodingtrain.com/challenges/90-dithering 🕹 P5 Sketch https://editor.p5js.org/codingt…
Google Cloud
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you use convolutions to recognize features in an image where the subject can be anywhere in the image!
In this episode of the Coding Train Live, I code a ml5 neural network. Timestamps: 0:00 Start! 5:28 Introduction 12:27 Community Contributions 17:42 Collatz Conjecture 26:54 Setting Up 42:35 ml5 Neural Network 1:14:26 Dashlane (*sponsor) 1:16:39 Linode (*sponsor) 1:19:14 Break 1:22:08 Coding Train…
MathWorks
Detecting and locating objects is one of the most common uses of deep learning for computer vision. Applications include helping autonomous systems navigate complex environments, locating medical conditions like tumors, and identifying ready-to-harvest crops in agriculture. In the course projects,…
In this live stream, I continue the “doodle classification” series, using the Google Quick Draw dataset and the toy neural network JS library. 🎥 Part 1 of the Live Stream: https://youtu.be/lN6Lqva6OGg 35:54 - Doodle Classifier Part 3 1:08:30 - Doodle Classifier Part 4 1:42:31 - Doodle Classifier Pa…
To learn more about Brilliant, go to https://brilliant.org/CodingTrain and sign up for free. The first 200 people that go to that link will get 20% off the annual Premium subscription. Investigating CNNs with ml5.js! Discord: https://discord.gg/hPuGy2g 💻 https://thecodingtrain.com/CodingChallenges/…
This live stream is a continuation of neural network series. I attempt to discuss backpropagation, but it mostly goes haywire. Timestamps: 30:20 - Reading Random Numbers 36:22 - Backpropagation Part 1 1:06:56 - Backpropagation Part 2 1:40:25 - Learning with Gradient Descent 🚂 Website: http://thecod…
Google Cloud
O objetivo deste curso é aproveitar a flexibilidade e a facilidade de uso do TensorFlow 2.x e do Keras para criar, treinar e implantar modelos de machine learning. Você aprenderá sobre a hierarquia da API TensorFlow 2.x e conhecerá os principais componentes do TensorFlow nos exercícios práticos. Mo…
In this live stream, I discuss a variety topcs: ES6 "let" and "const", 10PRINT, the Wikipedia API, simple harmonic motion and custom shapes in p5.js. Plus, I get a visit from a special guest, Siraj Raval, who joins me to talk about Artificial Intelligence and Deep Learning (his youtube channel: htt…
UNSW Sydney (The University of New South Wales)
Welcome to Remote Sensing Image Acquisition, Analysis and Applications, in which we explore the nature of imaging the earth's surface from space or from airborne vehicles. This course covers the fundamental nature of remote sensing and the platforms and sensor types used. It also provides an in-dep…
HP
Master the architectures powering modern AI — neural networks, computer vision, NLP, Transformers, LLMs, and Generative AI. Course 2 of the HP AI Foundations, Practice, and Leadership programme. Designed for learners at any stage. Get a free verified certificate with referral code 6FJGJOTX7MFH5M2H
Dartmouth College
Advance your career with Machine Learning
University of Illinois Urbana-Champaign
Neural Networks in Applied Medicine
University of Colorado Boulder
In this course, we will expand on vision as a cognitive problem space and explore models that address various vision tasks. We will then explore how the boundaries of these problems lead to a more complex analysis of the mind and the brain and how these explorations lead to more complex computation…
In this live stream, I make another attempt to discuss backpropagation with gradient descent. I also solve XOR with the new toy neural network library. 23:57 - Gradient Descent video 1:46:27 - 2nd Gradient Descent video 2:14:50 - XOR Coding Challenge Schedule and topics: https://github.com/CodingTr…
