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📐 ML Fundamentals

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

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Parameter Prediction for Unseen Deep Architectures (w/ First Author Boris Knyazev)
📐 ML Fundamentals
Parameter Prediction for Unseen Deep Architectures (w/ First Author Boris Knyazev)
Yannic Kilcher Advanced 4y ago
Oxford University Centre for Corporate Reputation - Virtual Reputation Symposium 2021
📐 ML Fundamentals
Oxford University Centre for Corporate Reputation - Virtual Reputation Symposium 2021
Saïd Business School, University of Oxford Advanced 4y ago
Github Copilot: Good or Bad?
📐 ML Fundamentals
Github Copilot: Good or Bad?
sentdex Advanced 4y ago
Sentdex Live: GTC Keynote News and free GPUs
📐 ML Fundamentals
Sentdex Live: GTC Keynote News and free GPUs
sentdex Advanced 4y ago
Can we simulate a real robot?
📐 ML Fundamentals
Can we simulate a real robot?
sentdex Advanced 4y ago
Deep Learning is Eating 5G. Here’s How, w/ Joseph Soriaga - #525
📐 ML Fundamentals
Deep Learning is Eating 5G. Here’s How, w/ Joseph Soriaga - #525
The TWIML AI Podcast with Sam Charrington Advanced 4y ago
Talks S2E5 (Luca Massaron): Hacking Bayesian Optimization
📐 ML Fundamentals
Talks S2E5 (Luca Massaron): Hacking Bayesian Optimization
Abhishek Thakur Advanced 4y ago
Applications of Variational Autoencoders and Bayesian Optimization w/ J. M. Hernández Lobato - #510
📐 ML Fundamentals
Applications of Variational Autoencoders and Bayesian Optimization w/ J. M. Hernández Lobato - #510
The TWIML AI Podcast with Sam Charrington Advanced 4y ago
Spatiotemporal Data Analysis with Rose Yu - #508
📐 ML Fundamentals
Spatiotemporal Data Analysis with Rose Yu - #508
The TWIML AI Podcast with Sam Charrington Advanced 4y ago
How new libraries can improve model performance with OctoML's Luis Ceze
📐 ML Fundamentals
How new libraries can improve model performance with OctoML's Luis Ceze
Weights & Biases Advanced 4y ago
Spence Green — Enterprise-scale Machine Translation
📐 ML Fundamentals
Spence Green — Enterprise-scale Machine Translation
Weights & Biases Advanced 4y ago
Introducing Retiarii: A deep learning exploratory-training framework on NNI
📐 ML Fundamentals
Introducing Retiarii: A deep learning exploratory-training framework on NNI
Microsoft Research Advanced 4y ago
Luis Ceze — Accelerating Machine Learning Systems
📐 ML Fundamentals
Luis Ceze — Accelerating Machine Learning Systems
Weights & Biases Advanced 4y ago
Detecting Drift
📐 ML Fundamentals
Detecting Drift
Data Skeptic Advanced 4y ago
Phil Brown — How IPUs are Advancing Machine Intelligence
📐 ML Fundamentals
Phil Brown — How IPUs are Advancing Machine Intelligence
Weights & Biases Advanced 4y ago
Cloud Computing Expert Kesha Williams on Hiring, Mentoring, & Creating Community in Tech
📐 ML Fundamentals
Cloud Computing Expert Kesha Williams on Hiring, Mentoring, & Creating Community in Tech
HackerRank Advanced 4y ago
Beyond Technical Acumen: Kaggle’s CEO on the Key Elements of a Data Scientist Skill Set
📐 ML Fundamentals
Beyond Technical Acumen: Kaggle’s CEO on the Key Elements of a Data Scientist Skill Set
HackerRank Advanced 4y ago
Does your app use ML? Make it a product with TFX | Session
📐 ML Fundamentals
Does your app use ML? Make it a product with TFX | Session
TensorFlow Advanced 4y ago
Using a TensorFlow Python MIRNet model in Node.js - Made with TensorFlow.js
📐 ML Fundamentals
Using a TensorFlow Python MIRNet model in Node.js - Made with TensorFlow.js
TensorFlow Advanced 4y ago
Probabilistic Numeric CNNs with Roberto Bondesan - #482
📐 ML Fundamentals
Probabilistic Numeric CNNs with Roberto Bondesan - #482
The TWIML AI Podcast with Sam Charrington Advanced 4y ago
Knowledge Distillation as Semiparametric Inference
📐 ML Fundamentals
Knowledge Distillation as Semiparametric Inference
Microsoft Research Advanced 4y ago
Sound Capture and Speech Enhancement for Communication and Distant Speech Recognition
📐 ML Fundamentals
Sound Capture and Speech Enhancement for Communication and Distant Speech Recognition
Microsoft Research Advanced 4y ago
Advanced Developer Workloads with Built-In AI Acceleration
📐 ML Fundamentals
Advanced Developer Workloads with Built-In AI Acceleration
The New Stack Advanced 4y ago
Self-Tuning Networks: Amortizing the Hypergradient Computation for Hyperparameter Optimization
📐 ML Fundamentals
Self-Tuning Networks: Amortizing the Hypergradient Computation for Hyperparameter Optimization
Microsoft Research Advanced 4y ago