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Simons Institute

Deep Learning and Numerical Methods Intersections for Improving Molecular and Fluid Dynamics

Yacine Mahdid

DenseNet Deep Neural Network Architecture Explained

Yannic Kilcher

xLSTM - Extended Long Short-Term Memory

Yacine Mahdid

In-Context Learning in Deep Learning - How It Works in Large and Small Language Models

Introduction to Reliable Deep Learning

MITCBMM

Towards Understanding Deep Classifiers Through Neural Collapse

MITCBMM

Open Problems in the Theory of Deep Learning - Panel Discussion

Databricks

Distributed Deep Learning for Cancer Cell Typing and Tumor Purity

Eran Feit

Detecting Bone Fractures Using Deep Learning and YOLOv8 - Object Detection Tutorial

MLCon | Machine Learning Conference

A Cabinet of Deep Learning Curiosities - Unconventional Techniques and Overlooked Methods

USENIX

Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation

USENIX

nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training

USENIX

Power-aware Deep Learning Model Serving with μ-Serve

GAIA

Deep Learning for Self-Driving Cars

USC Information Sciences Institute

Deep Learning Meets Nonparametric Regression: Are Weight-decayed DNNs Locally Adaptive?

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Deep Learning and Numerical Methods Intersections for Improving Molecular and Fluid Dynamics

DenseNet Deep Neural Network Architecture Explained

xLSTM - Extended Long Short-Term Memory

In-Context Learning in Deep Learning - How It Works in Large and Small Language Models

Introduction to Reliable Deep Learning

Towards Understanding Deep Classifiers Through Neural Collapse

Open Problems in the Theory of Deep Learning - Panel Discussion

Distributed Deep Learning for Cancer Cell Typing and Tumor Purity

Detecting Bone Fractures Using Deep Learning and YOLOv8 - Object Detection Tutorial

A Cabinet of Deep Learning Curiosities - Unconventional Techniques and Overlooked Methods

Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation

nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training

Power-aware Deep Learning Model Serving with μ-Serve

Deep Learning for Self-Driving Cars

Deep Learning Meets Nonparametric Regression: Are Weight-decayed DNNs Locally Adaptive?

Deep Learning Courses and Certifications

Class Central's Top Deep Learning Courses

Neural Networks and Deep Learning

Introduction to Deep Learning

NYU Deep Learning

Intro to Deep Learning with PyTorch

Practical Deep Learning For Coders

Introduction to Deep Learning & Neural Networks with Keras

Deep Learning with PyTorch: Zero to GANs

Probabilistic Deep Learning with TensorFlow 2

Machine Learning with Python: from Linear Models to Deep Learning.

Deep Learning Applications for Computer Vision

All Deep Learning Courses

Deep Learning and Numerical Methods Intersections for Improving Molecular and Fluid Dynamics

DenseNet Deep Neural Network Architecture Explained

xLSTM - Extended Long Short-Term Memory

In-Context Learning in Deep Learning - How It Works in Large and Small Language Models

Introduction to Reliable Deep Learning

Towards Understanding Deep Classifiers Through Neural Collapse

Open Problems in the Theory of Deep Learning - Panel Discussion

Distributed Deep Learning for Cancer Cell Typing and Tumor Purity

Detecting Bone Fractures Using Deep Learning and YOLOv8 - Object Detection Tutorial

A Cabinet of Deep Learning Curiosities - Unconventional Techniques and Overlooked Methods

Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation

nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training

Power-aware Deep Learning Model Serving with μ-Serve

Deep Learning for Self-Driving Cars

Deep Learning Meets Nonparametric Regression: Are Weight-decayed DNNs Locally Adaptive?