ML Fundamentals

Deep Learning Podcast #1 | Edward Dixon | Stochastic Weight Averaging

Advancing Autonomous Vehicle Development Using Distributed Deep Learning with Adrien Gaidon -...

Video Classification with Deep Learning

Gauge Equivariant CNNs, Generative Models, and the Future of AI with Max Welling - TWiML Talk #267

Cloud TPU Pods: AI Supercomputing for Large Machine Learning Problems (Google I/O'19)

Inside TensorFlow: tf.data - TF Input Pipeline

Neural Network from scratch - Part 3 (Backward Propagation)

Neural Network from scratch - Part 2 (Forward Propagation)

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Drug Discovery with Machine Learning

LSTM Networks - EXPLAINED!

Reinforcement Learning 6: Policy Gradients and Actor Critics

Reinforcement Learning 10: Classic Games Case Study

PyTorch Datasets and DataLoaders - Training Set Exploration for Deep Learning and AI

These Neural Networks Empower Digital Artists

This Neural Network Animates Quadrupeds

Spam Filtering with Naive Bayes

Train image classifier using transfer learning - Fine-tuning MobileNet with Keras

Unpaired Image-Image Translation using CycleGANs

Mathematics of Machine Learning

Neural Architecture Search

End-to-End Data Science to Drive Business Decisions at LinkedIn with Burcu Baran - TWiML Talk #256

TensorFlow Federated (TFF): Machine Learning on Decentralized Data (TF Dev Summit ‘19)

Powered by TensorFlow: utilizing deep learning to better predict extreme weather

Holistic Optimization of the LinkedIn News Feed - TWiML Talk #224

Deep Learning 5: Optimization for Machine Learning

Deep Learning 8: Unsupervised learning and generative models

Reinforcement Learning 8: Advanced Topics in Deep RL

Reinforcement Learning 7: Planning and Models

Reinforcement Learning 2: Exploration and Exploitation

Reinforcement Learning 3: Markov Decision Processes and Dynamic Programming

Reinforcement Learning 4: Model-Free Prediction and Control

Reinforcement Learning 5: Function Approximation and Deep Reinforcement Learning

Productive Machine Learning at LinkedIn with Bee-Chung Chen - TWiML Talk #200

Saving and Loading Models (Coding TensorFlow)

DeepMind's AI Takes An IQ Test! 🤖

Deep Gradient Compression for Distributed Training with Song Han - #146

Training Data for Computer Vision at Figure Eight with Qazaleh Mirsharif - #144

Deep Learning for Live-Cell Imaging with David Van Valen - #141

Practical Deep Learning with Rachel Thomas - #138

Scalable Differential Privacy for Deep Learning with Nicolas Papernot - #134

Optimal Transport and Machine Learning with Marco Cuturi - #131

Applied AI at The Coca-Cola Company (TensorFlow Dev Summit 2018)

Adversarial Attacks Against Reinforcement Learning Agents with Ian Goodfellow & Sandy Huang - #119

Separating Vocals in Recorded Music at Spotify with Eric Humphrey - #98

Accelerating Deep Learning with Mixed Precision Arithmetic, w/ Greg Diamos - #97

AI Beats Radiologists at Pneumonia Detection | Two Minute Papers #214

Scaling AI for the Enterprise with Mazin Gilbert - #78