CNN Training Loop Explained - Neural Network Code Project

CNN Training Loop Explained - Neural Network Code Project

Learn how to build a training loop for a convolutional neural network using Python and PyTorch in this 22-minute video tutorial. Explore the step-by-step process of implementing a CNN training loop, including data preparation, model initialization, forward and backward passes, and parameter updates. Gain insights into handling underfitting and optimizing network performance. Discover practical coding techniques and best practices for developing robust neural network projects. By the end of this tutorial, acquire the skills to create and train your own CNN models for various deep learning applications.