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MIT 6.S094 Deep Learning Basics: Introduction and Overview

An introductory lecture for MIT course 6.S094 on the basics of deep learning including a few key ideas, subfields, and the big picture of why neural networks have inspired and energized an entirely new generation of researchers. For more lecture videos on deep learning, reinforcement learning (RL), artificial intelligence (AI & AGI), and podcast conversations […]
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Computerphile: Deep Learning

Google, Facebook & Amazon all use deep learning methods, but how does it work? Research fellow & Deep Learning expert Brais Martinez explains.
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Ishan Misra: Self-Supervised Deep Learning in Computer Vision | Lex Fridman Podcast #206

Ishan Misra is a research scientist at FAIR working on self-supervised visual learning. Please support this podcast by checking out our sponsors: – Onnit: https://lexfridman.com/onnit to get up to 10% off – The Information: https://theinformation.com/lex to get 75% off first month – Grammarly: https://grammarly.com/lex to get 20% off premium – Athletic Greens: https://athleticgreens.com/lex and use […]
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Recitation 0 | (1/5) AWS Account Setup and Command Line Interface (CLI) 2

Carnegie Mellon University Course: 11-785, Intro to Deep Learning Offering: Spring 2020 For more information, please visit: http://deeplearning.cs.cmu.edu/ Contents: 1. How to create an AWS account; 2. Download the AWS Command Line Interface (or AWS CLI 2); 3. Launch an instance and see its info in the terminal with the CLI; 4. Shut down the […]
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What is a Neural Network? (C1W1L02)

Take the Deep Learning Specialization: http://bit.ly/2OYiqBI Check out all our courses: https://www.deeplearning.ai Subscribe to The Batch, our weekly newsletter: https://www.deeplearning.ai/thebatch Follow us: Twitter: https://twitter.com/deeplearningai_ Facebook: https://www.facebook.com/deeplearningHQ/ Linkedin: https://www.linkedin.com/company/deeplearningai Source of this AI Video
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C4W1L04 Padding

Take the Deep Learning Specialization: http://bit.ly/330te8c Check out all our courses: https://www.deeplearning.ai Subscribe to The Batch, our weekly newsletter: https://www.deeplearning.ai/thebatch Follow us: Twitter: https://twitter.com/deeplearningai_ Facebook: https://www.facebook.com/deeplearningHQ/ Linkedin: https://www.linkedin.com/company/deeplearningai Source of this AI Video
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Probabilistic ML – Lecture 14 – Generalized Linear Models

This is the fourteenth lecture in the Probabilistic ML class of Prof. Dr. Philipp Hennig in the Summer Term 2020 at the University of Tübingen. Time-stamped slides available at https://uni-tuebingen.de/en/180804. Contents: * Laplace Approximations * Support Vector Machines (SVMs) * Generalized Linear Models * Bayesian Deep Learning * ReLU Networks © Philipp Hennig / University […]
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TensorFlow Probability: Learning with confidence (TF Dev Summit '19)

TensorFlow Probability (TFP) is a Python library built on TensorFlow that makes it easy to combine probabilistic models and deep learning on modern hardware (TPU, GPU). It’s for data scientists, statisticians, and ML researchers/practitioners who want to encode domain knowledge to understand data and make predictions with uncertainty estimates. In this talk we focus on […]
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Reinforcement Learning in the Real World | Paper Analysis

Far from being an academic novelty, reinforcement learning has many real world use cases. In this video we take a look at using reinforcement learning, specifically a version of policy gradient methods known as proximal policy optimization (PPO), to optimize the join ordering for PostgreSQL queries. The researchers show that their application of reinforcement learning […]
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The Art of Productivity

I’ll show you how to maximize your productivity, get more stuff done, and be a rock star at work. The secret lies in the Pomodoro Method: 25 minutes of highly focused work followed by a 5 minute break. It maximizes the chances you’ll enter the flow state and bang out the task at hand with […]
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Introduction to Tensorflow & Keras for Deep Learning with Python (3.2)

An introduction to TensorFlow 2.0 with Keras in Python. This video sets the foundation for the rest of the course by introducing TensorFlow and how it is accessed with Python. Keras is demonstrated as a higher level abstraction for deep neural networks. Code for This Video: https://github.com/jeffheaton/t81_558_deep_learning/blob/master/t81_558_class_03_2_keras.ipynb Course Homepage: https://sites.wustl.edu/jeffheaton/t81-558/ Follow Me/Subscribe: https://www.youtube.com/user/HeatonResearch https://github.com/jeffheaton Tweets […]
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Class: Applications of Deep Neural Networks

Description of my course on the application of deep neural networks. I introduce the course and provide an overview. This course is taught in a hybrid format at Washington University in St. Louis; however, all the information is online and you can easily follow along. T81-558: Application of Deep Learning, at Washington University in St. […]
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1.1: Course on the Application of Deep Neural Networks (Module 1, Part 1)

This is the first installment of a course on the application of deep neural networks. I introduce the course and provide an overview. This course is taught in a hybrid format at Washington University in St. Louis; however, all the information is online and you can easily follow along. T81-558: Application of Deep Learning, at […]
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Learning Rate Decay (C2W2L09)

Take the Deep Learning Specialization: http://bit.ly/2Tx69W7 Check out all our courses: https://www.deeplearning.ai Subscribe to The Batch, our weekly newsletter: https://www.deeplearning.ai/thebatch Follow us: Twitter: https://twitter.com/deeplearningai_ Facebook: https://www.facebook.com/deeplearningHQ/ Linkedin: https://www.linkedin.com/company/deeplearningai Source of this AI Video