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CNN Weights - Learnable Parameters in PyTorch Neural Networks

Offered By: deeplizard via YouTube

Tags

PyTorch Courses Deep Learning Courses Object-oriented programming Courses Matrix Multiplication Courses Neural Network Architecture Courses

Course Description

Overview

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Explore the inner workings of PyTorch neural networks in this 24-minute video tutorial. Dive into object-oriented programming concepts, convolutional and linear layer weight tensors, and matrix multiplication for deep learning. Learn about learnable parameters in CNN weights and gain insights into PyTorch's implementation of neural network architectures. Discover how to access and manipulate weight tensors, understand their role in the learning process, and grasp the fundamentals of weight initialization in deep learning models.

Syllabus

CNN Weights - Learnable Parameters in PyTorch Neural Networks


Taught by

deeplizard

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