PyCon.DE 2018: Combining PyTorch And TensorFlow For Deep Learning - Marcel Kurovski
PyCon.DE 2017 David Dao - Really Deep Neural Networks with PyTorch
PyCon.DE 2018 LT: PyComic Con - Alexander CS Hendorf
TensorFlow vs PyTorch | Galat framework = time waste! | #shorts #tensorflow #pytorch
code.talks 2018 From Exploration to Production - Bridging Framework Gaps for Deep Learning Models
PyCon.DE 2018 LT: PyLadies - Jessica Greene and PyLadies Berlin
First steps in Deep Learning with TensorFlow 2.0 : CNNs - Martin Andrews
F8: Introducing PyTorch 1.0: A New Research-Focused, Production-Ready, Deep Learning Framework
PyTorch Developer Conference 2018: Recap
PyTorch PyTorch Developer Conference Production & Research Sessions
AWS re:Invent 2018: Deep Learning Applications Using PyTorch, Featuring Facebook (AIM402-R1)
Deep Learning with Python & TensorFlow - PyData Singapore
Tensorflow & Python: Fault Detection System – Eric Byungwook Ahn – PyCon Taiwan 2017
PyTorch developer conference part 1
R. Lancellotti, G. Di Brino - Deep Learning in Computer Vision
Dr. Thomas Wollmann: Squirrel - Efficient Data Loading for Large-Scale Deep Learning
DeepLearning NeuralNetwork Debugging with TensorBoard and TensorFlow
Benjamin Bossan: skorch: A scikit-learn compatible neural network library... | PyData Berlin 2019
Creative A.I. with Python and Pytorch, Practical artificial intelligence and creative deep learning
A Tale of 3 Deep Learning Frameworks: TensorFlow, Keras, & PyTorch with Jules Damji & Brooke Wenig
