YoVDO

CNN Confusion Matrix with PyTorch - Neural Network Programming

Offered By: deeplizard via YouTube

Tags

PyTorch Courses Data Visualization Courses Machine Learning Courses Deep Learning Courses Neural Networks Courses Model Evaluation Courses Confusion Matrix Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Learn how to build, plot, and interpret a confusion matrix using PyTorch in this 24-minute video tutorial. Explore techniques for locally disabling PyTorch gradient tracking and computational graph generation while using a neural network to obtain predictions for every sample in a training set. Gain insights into the FashionMNIST dataset and understand the training loop process. Follow along with code examples and practical demonstrations to enhance your skills in neural network programming and evaluation.

Syllabus

CNN Confusion Matrix with PyTorch - Neural Network Programming


Taught by

deeplizard

Related Courses

Neural Networks for Machine Learning
University of Toronto via Coursera
Good Brain, Bad Brain: Basics
University of Birmingham via FutureLearn
Statistical Learning with R
Stanford University via edX
Machine Learning 1—Supervised Learning
Brown University via Udacity
Fundamentals of Neuroscience, Part 2: Neurons and Networks
Harvard University via edX