Deep Learning with PyTorch Full Course | Master PyTorch, Tensors, and Neural Networks
Master Deep Learning with PyTorch! This full-course takes you from the fundamentals to advanced techniques, covering everything from tensors and neural networks to convolutional architectures, sequence models, and multi-input/output deep learning systems. Whether you’re a beginner or looking to refine your PyTorch skills, this comprehensive guide will equip you with the knowledge to build and optimize state-of-the-art AI models.
📌 What You’ll Learn in This Course:
PyTorch Fundamentals: Master tensors, tensor operations, and automatic differentiation.
Building Neural Networks: Learn how to de…
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Chapters (16)
Introduction to Deep Learning with PyTorch
0:27
Meet Your Instructor
1:06
What is Deep Learning?
1:39
Neural Networks Explained
2:11
Why PyTorch for Deep Learning?
2:48
Introduction to PyTorch Tensors
3:25
Tensor Operations and Matrix Multiplication
4:02
Building a Simple Neural Network
5:15
Understanding Fully Connected Layers
6:37
Weights, Biases, and Their Role
7:45
Neural Networks in Action: Weather Prediction Example
8:23
Adding Hidden Layers with nn.Sequential
9:37
Understanding Model Capacity and Parameter Counts
10:55
Introduction to Activation Functions
12:07
Sigmoid and Softmax Activation Functions
14:38
Runn
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