Dive into deep learning and neural networks using Python and PyTorch in this comprehensive 4.5-hour tutorial. Begin with an introduction to the fundamentals, then explore data handling techniques essential for deep learning projects. Learn to construct neural networks from scratch, and master the intricacies of model training. Delve into convolutional neural networks (ConvNets), understanding their architecture and training processes. Harness the power of GPU acceleration to enhance model performance. Conclude by developing critical skills in model analysis to evaluate and improve your deep learning models.
Overview
Syllabus
Introduction - Deep Learning and Neural Networks with Python and Pytorch p.1.
Data - Deep Learning and Neural Networks with Python and Pytorch p.2.
Building our Neural Network - Deep Learning and Neural Networks with Python and Pytorch p.3.
Training Model - Deep Learning and Neural Networks with Python and Pytorch p.4.
Convnet Intro - Deep Learning and Neural Networks with Python and Pytorch p.5.
Training Convnet - Deep Learning and Neural Networks with Python and Pytorch p.6.
On the GPU - Deep Learning and Neural Networks with Python and Pytorch p.7.
Model Analysis - Deep Learning and Neural Networks with Python and Pytorch p.8.
Taught by
sentdex
