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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.
Microsoft
You have built production-grade recommendation pipelines, trained deep learning ranking models, and deployed MLOps systems on Azure. Now, it is time to translate that technical depth into career opportunities. This course helps you position your recommender systems expertise for the job market and…
Microsoft
Enterprise-scale deep learning demands more than a single GPU; it requires distributed infrastructure, optimized training pipelines, and the ability to build advanced multi-domain applications. This course builds the engineering skills to scale deep learning workflows and deploy production-grade mo…
In this live stream, I start a new “doodle classification” series, using the Google Quick Draw dataset and the toy neural network JS library. 🎥 Part 2 of the Live Stream: https://youtu.be/Up0bkN4I_f4 39:08 - Doodle Classifier Part 1 1:07:04 - Doodle Classifier Part 2 🔗 Toy-Neural-Network-JS: https:…
In this live stream, I take a break from neural networks tutorials and attempt to create a simulation of the classic board game Snakes & Ladders. 💻 Snakes & Ladders challenge https://thecodingtrain.com/challenges/91-snakes-and-ladders Timestamps: 22:59 Coding Challenge: Snakes & Ladders 57:16 Add S…
Microsoft
Engineer Deep Learning Models on Azure
This live stream is a second try at explaining the feedforward algorithm for neural networks. Edited tutorials: Neural Networks: Feedforward Algorithm Part 1: https://youtu.be/qWK7yW8oS0I Neural Networks: Feedforward Algorithm Part 2: https://youtu.be/MPmLWsHzPlU 11:35 - Feedforward Algorithm Part…
Alison
Convolutional neural networks (CNNs) is one of the most significant breakthroughs in computer vision. The course introduces the fundamental operations and parameters of convolution. You will discover the significance of CNNs in overcoming the feedforward network’s challenges in filtering visual ima…
In this live stream, I create a "Color Predictor" (based on Jabril's) using the neural network library. I also continue the QuadTree coding challenge. 25:33 - Coding Challenge: Color Predictor 1:25:22 - Quadtree - Part 3 🔗 noopkat's website: http://noopkat.com 🔗 TensorFlow.js: https://js.tensorflow…
Alison
This course aims at providing a basic understanding of the various kinds of vision models in deep learning for computer vision. It initiates by illustrating the methods used for focusing on a specific feature of an image in a large volume of datasets. You will discover the role of computer vision t…
Intel
This course provides an introduction to Deep Learning, a field that aims to harness the enormous amounts of data that we are surrounded by with artificial neural networks, allowing for the development of self-driving cars, speech interfaces, genomic sequence analysis and algorithmic trading. You wi…
In this live stream, I discuss code “linting” and git remotes. In part 2, I begin a new series on neuroevolution. 🎥 Part 2: https://youtu.be/ASnCXW6pPSY 16:22 - Linting with ESLint 1:04:54 - Git Remote 🔗 Flappy Bird Clone: https://github.com/CodingTrain/Flappy-Bird-Clone 🔗 Toy-Neural-Network-JS: ht…
Google Cloud
En este curso, se exploran los beneficios de utilizar Vertex AI Feature Store, cómo mejorar la exactitud de los modelos de AA y cómo descubrir cuáles columnas de datos producen los atributos más útiles. El curso también incluye contenido y labs sobre la ingeniería de atributos en los que se usan Bi…
Université de Montréal
Voulez-vous savoir comment les machines peuvent apprendre des tâches que nous pensions possibles seulement pour le cerveau humain? Alors suivez ce cours d’apprentissage profond mis au point par IVADO, Mila et l’Université de Montréal qui donne un aperçu détaillé de l’essentiel de l’apprentissage pr…
Université de Montréal
La vision artificielle est facile à mettre en oeuvre. Identifiez une niche commerciale en survolant une foule d'applications pratiques. Récoltez des données avec un drone. Entraînez des réseaux de neurones. Déployez une application sur un téléphone ou le Web.
Université de Montréal
L'apprentissage profond (deep learning) est une technique d'apprentissage automatique (machine learning) qui a considérablement amélioré les résultats dans de nombreux domaines tels que la vision par ordinateur, la reconnaissance de la parole et la traduction automatique. Les techniques d'apprentis…
Imperial College London
TensorFlow 2 시작하기 과정에 오신 것을 환영합니다! 이 과정에서는 순차 API를 사용한 모델 구축, 훈련, 평가 및 예측, 모델 검증, 정규화, 콜백 구현, 모델 저장 및 로딩 등 Tensorflow를 사용하여 딥 러닝 모델을 개발하기 위한 완벽한 엔드-투-엔드 워크플로우를 배우게 됩니다. 배운 개념을 실용적인 실습형 코딩 자습서에서 바로 연습할 것이며 이는 대학원 조교에게 안내를 받게 될 것입니다. 또한 기술을 통합할 수 있는 일련의 자동 채점 프로그래밍 과제가 있습니다.\n\n과정이 끝나면 이미지 분류기 딥 러닝 모…
University of Glasgow
This course will introduce the concepts of interpretability and explainability in machine learning applications. The learner will understand the difference between global, local, model-agnostic and model-specific explanations. State-of-the-art explainability methods such as Permutation Feature Impo…
In this live stream, I go through pull requests on the JavaScript neural network library repo and take another crack at the XOR coding challenge. 26:40 - Resolving merge conflicts 52:51 - XOR Problem Schedule and topics: https://github.com/CodingTrain/Rainbow-Code/blob/master/README.md Support this…
DeepLearning.AI
إذا كنت ترغب في اختراق عالم الذكاء الاصطناعي شديد التطور، فسوف تساعدك هذه الدورة التدريبية على تحقيق ذلك. إن مهندسي التعلم العميق مطلوبون بشدة، كما أن إتقان التعلم العميق يمنحك العديد من فرص المستقبل المهني الجديدة. إن التعلم العميق يعد بمثابة "قوة عظمى" جديدة كذلك تساعدك على بناء أنظمة الذكاء الاص…
DeepLearning.AI
딥 러닝 전문화의 네 번째 과정에서는 컴퓨터 비전이 어떻게 발전해 왔는지 이해하고 자율 주행, 얼굴 인식, 방사선 이미지 읽기 등과 같은 흥미로운 애플리케이션에 익숙해질 것입니다. 마지막에는 Residual Networks와 같은 최근 파생을 포함하여 컨볼루션 신경망을 구축할 수 있습니다. 시각적 감지 및 인식 작업에 컨볼루션 네트워크를 적용합니다. Neural Style Transfer를 사용하여 아트 작품을 생성하고 이러한 알고리즘을 다양한 이미지, 비디오 및 기타 2D 또는 3D 데이터에 적용합니다. 딥 러닝 전문화는 딥 러…
