Introduction to SVD for Tensor Network
GPU Programming 2016, NTU CSIE, final project.
蔡捷恩
Miles Stoudenmire: Introduction to Tensor Networks for Machine Learning.
Miles Stoudenmire (Flatiron Institute) Talk given at CMAC2020 https://research.kent.ac.uk/pqm/condensed-matter-physics-in-the-cities-2020/schedule/ Abstract: ...
Condensed Matter Physics In the City
Tensor Calculus
The notion of tensor products is rather abstract in definition. However, one can easily compute with tensor products using coordinates with a fairly elementary ...
DanielChanMaths
13. Speech Recognition with Convolutional Neural Networks in Keras/TensorFlow
Learn to build a Keras model for speech classification. Audio is the field that ignited industry interest in deep learning. Although the data doesn't look like the ...
Weights & Biases
Jacob Biamonte on Tensor Network States --- Lecture 1
Lecture notes and problem sets available at http://qubit.org/iqc2011 The first lecture unites tensor networks and polynomial invariants with a variant of Penrose's ...
Institute for Quantum Computing
Analysis and design of convolutional networks via hierarchical tensor decompositions - Nadav Cohen
Short talks by postdoctoral members Topic: Analysis and design of convolutional networks via hierarchical tensor decompositions Speaker: Nadav Cohen ...
Institute for Advanced Study
Discovery of Latent Factors in High-dimensional Data via Tensor Decomposition
Latent or hidden variable models have applications in almost every domain, e.g., social network analysis, natural language processing, computer vision and ...
Microsoft Research
Analysis of a Tensor Core
A video analyzing the architectural makeup of an Nvidia Volta Tensor Core. References: Pu, J., et. al. "FPMax: a 106GFLOPS/W at 217GFLOPS/mm2 ...
RTL Engineering
A.I. Experiments: Visualizing High-Dimensional Space
Check out https://g.co/aiexperiments to learn more. This experiment helps visualize what's happening in machine learning. It allows coders to see and explore ...
Google Developers
Tensor Processing Units: History and Hardware
In this episode of AI Adventures, Yufeng Guo goes through the logistics and history of TPU's (Tensor Processing Units) and how they differ from CPU's and ...
Google Cloud Platform
TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners Tutorial
Learn how to use TensorFlow 2.0 in this full tutorial course for beginners. This course is designed for Python programmers looking to enhance their knowledge ...
freeCodeCamp.org
Tensor Calculus For Physics Ep. 12: Christoffel Symbols
In this video we derive an expression for the metric-compatible, torsion-free connection coefficients, the Christoffel symbols. These will be the coefficients used ...
Andrew Dotson
Bridging Deep Learning and Many-Body Quantum Physics via Tensor Networks
Bridging many-body quantum physics and deep learning via tensor networks is a passion of Yoav Levine of Hebrew University of Jerusalem.
APS Physics
ECE 804 - Dr Nikos Sidiropoulos - Tensor Decomposition Theory and Algorithms in the Era of Big Data
Tensor decomposition (also known as multi-way analysis) is a fascinating cross-disciplinary area that builds upon linear and multi-linear algebra, complexity, ...
NC State ECE
Tamara G. Kolda: "Tensor Decomposition"
JMM 2018: Tamara G. Kolda, Sandia National Laboratories, gives the SIAM Invited Address on "Tensor Decomposition: A Mathematical Tool for Data Analysis" ...
jointmathematicsmeetings
Tech Talk: Tensor Processing Units: History and Applications
In this video, Grace Gately discusses how CPUs and GPUs laid the groundwork for the development of Google's Tensor Processing Units, and how TPUs are ...
Fullstack Academy
AI in Medicine | Medical Imaging Classification (TensorFlow Tutorial)
Can AI be used to detect various diseases from a simple body scan? Yes! Normally, doctors train for years to do this and the error rate is still relatively high.
Siraj Raval
Deep Learning with Tensorflow - Recursive Neural Tensor Networks
Enroll in the course for free at: https://bigdatauniversity.com/courses/deep-learning-tensorflow/ Deep Learning with TensorFlow Introduction The majority of data ...
Cognitive Class
Understanding your brain as a network and as art | Danielle Bassett | TEDxPenn
How do connectivity patterns inside of your brain change when you learn a new skill? Danielle Bassett seeks to uncover this complexity and develop treatments ...
TEDx Talks
AWS re:Invent 2017: Scaling Convolutional Neural Networks with Kubernetes and Tensor (MCL305)
In this session, Reza Zadeh, CEO of Matroid, presents a Kubernetes deployment on Amazon Web Services that provides customized computer vision to a large ...
Amazon Web Services
Anthony Nouy - Learning with tree tensor networks
This talk was part of the workshop “MAIA 2019: Multivariate Approximation and Interpolation with Applications” held at the ESI August 26 – 30, 2019.
Erwin Schrödinger International Institute for Mathematics and Physics (ESI)
TensorFlow Tutorial | Deep Learning Using TensorFlow | TensorFlow Tutorial Python | Edureka
Flat 20% Off (Use Code: YOUTUBE) TensorFlow Training - https://www.edureka.co/ai-deep-learning-with-tensorflow ** This Edureka TensorFlow Tutorial video ...
edureka!
Exascale Deep Learning for Climate Analytics (TF Dev Summit ‘19)
Climate change will have fundamental socio-economic impact and it is imperative for us to understand it better. This talk will show how TensorFlow was utilized ...
TensorFlow
Classification using neural networks & ML regression models #AskTensorFlow
If you want to learn how to start using pre-trained models and eventually want to build your own ML models, then you will want to watch this episode of ...
TensorFlow
AI Tensor Flow Crypto Trading on ETH/USDT success results ( Neural Networks )
Here in this video i will be sharing my results on the Tensor flow Bot, which was studying on the ETH/USDT crypto market, and now when the studies were ...
Learn Php with Matt
Mesh-TensorFlow: Model Parallelism for Supercomputers (TF Dev Summit ‘19)
Batch-splitting (data-parallelism) is the dominant distributed Deep Neural Network (DNN) training strategy, due to its universal applicability and its amenability to ...
TensorFlow
Norbert Schuch: Topological Phase Transitions in Tensor Networks: A Holographic Perspective
Norbert Schuch (Aachen University) Topological Phase Transitions in Tensor Networks: A Holographic Perspective QuICS Workshop on the Frontiers of ...
QuICS
Processing our own Data - Deep Learning with Neural Networks and TensorFlow part 5
Welcome to part five of the Deep Learning with Neural Networks and TensorFlow tutorials. Now that we've covered a simple example of an artificial neural ...
sentdex
Recurrent Neural Networks | MIT 6.S191
MIT Introduction to Deep Learning 6.S191: Lecture 2 *New 2020 Edition* Recurrent Neural Networks Lecturer: Ava Soleimany January 2020 For all lectures, ...
Alexander Amini
Tensor networks II
Speaker: Ulrich Joseph Schollwoeck (LMU Munich, Germany) Summer School on Collective Behaviour in Quantum Matter | (smr 3235) ...
ICTP Condensed Matter and Statistical Physics
Keras Tutorial TensorFlow | Deep Learning with Keras | Building Models with Keras | Edureka
TensorFlow Training - https://www.edureka.co/ai-deep-learning-with-tensorflow ** This Edureka Keras Tutorial TensorFlow video (Blog: https://goo.gl/4zxMfU) ...
edureka!
TensorFlow Tutorial #23 Time-Series Prediction
How to predict time-series data using a Recurrent Neural Network (GRU / LSTM) in TensorFlow and Keras. Demonstrated on weather-data.
Hvass Laboratories
Symmetry and topological order in tensor networks
Speaker: Dominic Williamson Title: Symmetry and topological order in tensor networks Abstract: I will present an overview of how topological states of matter ...
Harvard CMSA
Keras vs Tensorflow vs PyTorch | Deep Learning Frameworks Comparison | Edureka
AI & Deep Learning with Tensorflow Training: https://www.edureka.co/ai-deep-learning-with-tensorflow ** This Edureka video on "Keras vs TensorFlow vs ...
edureka!
Jacob Biamonte on Tensor Network States --- Lecture 3
Lecture notes and problem sets available at http://qubit.org/iqc2011 The third lecture in the series began by reviewing prior lectures. It went on to focus on ...
Institute for Quantum Computing
Generating music with Python using Magenta for TensorFlow
We ask a lot of our computers in 2019. But let's stop and ask one more favor of our electronic friends. Using Magenta for TensorFlow ...
Twilio
Wide & Deep Learning with TensorFlow - Machine Learning
Wide & Deep Learning (https://research.googleblog.com/2016/06/wide-deep-learning-better-together-with.html) combines the power of memorization and ...
Google Developers
Jacob Biamonte on Tensor Network States --- Lecture 4
Lecture notes and problem sets available at http://qubit.org/iqc2011 The final lecture in the series introduced began by reviewing the prior lectures. It continues ...
Institute for Quantum Computing
Graph Networks in 2020
Graph Networks are extremely useful tools to help understand the graph data that's all around us. In this episode, I'm going to explain what some of the latest ...
Siraj Raval
GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries (KDD 2012)
GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries KDD 2012 U. Kang Evangelos Papalexakis Abhay Harpale Christos Faloutsos ...
Research in Science and Technology
Reinforcement Learning with TensorFlow and Unity - Pittsburgh ML Summit ‘19
Dan Goncharov, Head of 42 Robotics GDG Fremont, talks about Reinforcement Learning with TensorFlow and Unity. Also, see an overview of Machine Learning ...
Google Developers
Tensor Calculus 22: Riemann Curvature Tensor Geometric Meaning (Holonomy + Geodesic Deviation)
If you want to support my work, feel free to leave a tip: https://www.ko-fi.com/eigenchris Video 21 on the Lie Bracket: ...
eigenchris
