Flatten, Reshape, and Squeeze Explained – Tensors for Deep Learning with PyTorch

Tensors for neural network programming and deep learning with PyTorch. A deeper look into the tensor reshaping options like flattening, squeezing, and unsqueezing. Check out the corresponding blog and other resources for this video at: http://deeplizard.com/learn/video/fCVuiW9AFzY Code: https://www.patreon.com/posts/code-for-pytorch-21607032 Code files are available as a perk…

Rank, Axes, and Shape Explained – Tensors for Deep Learning

Part 2: Introducing tensors for deep learning and neural network programming. Check out the corresponding blog and other resources for this video at: http://deeplizard.com/learn/video/AiyK0idr4uM ❤️🦎 Special thanks to the following polymaths of the deeplizard hivemind: Ruicong Xie Najib Akram Support collective intelligence, and join the…

Tensors Explained – Data Structures of Deep Learning

Part 1: Introducing tensors for deep learning and neural network programming. Check out the corresponding blog and other resources for this video at: http://deeplizard.com/learn/video/Csa5R12jYRg ❤️🦎 Special thanks to the following polymaths of the deeplizard hivemind: Ruicong Xie Najib Akram Support collective intelligence, and join the…

TensorFlow.js – Examining tensors with the debugger

In this video, we’re going to continue our exploration of tensors. Here, we’ll be stepping through the code we developed last time with the debugger to see the exact transformations that are happening to our tensors in real-time. Last time, we went through the process…