Introduction to PyTorch for Deep Learning with Python (3.2)

An introduction to PyTorch in Python. This video sets the foundation for the rest of the course by introducing TensorFlow and how it is accessed with Python. PyTorch neural networks are demonstrated as a higher level abstraction for deep neural networks. Code for This Video: https://github.com/jeffheaton/t81_558_deep_learning/blob/pytorch/t81_558_class_03_2_pytorch.ipynb Quick overview of Mandelbrot: https://www.youtube.com/shorts/mKbm0Qj80NI ~~~~~~~~~~~~~~~ COURSE MATERIAL ~~~~~~~~~~~~~~~ Textbook - Coming soon GitHub - https://github.com/jeffheaton/t81_558_deep_learning/tree/pytorch ▶️ Play List - https://www.youtube.com/playlist?list=PLjy4p-07OYzuy_lHcRW8lPTLPTTOmUpmi WUSTL Course Site - https://sites.wustl.edu/jeffheaton/t81-558/ ~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~ ️ Website: https://www.heatonresearch.com/ Twitter - https://twitter.com/jeffheaton GitHub - https://github.com/jeffheaton Instagram - https://www.instagram.com/jeffheatondotcom/ Discord: https://discord.gg/3bjthYv ▶️ Subscribe: https://www.youtube.com/c/heatonresearch?sub_confirmation=1 ~~~~~~~~~~~~~~ SUPPORT ME ~~~~~~~~~~~~~~ Patreon - https://www.patreon.com/jeffheaton Other Ways to Support (some free) - https://www.heatonresearch.com/support.html ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ #Python #Tensorflow #Keras #csv #png #jpg #csv