deeplizard Courses

AI Art Course Install and Setup - Automatic1111 and Stable Diffusion

Learn to set up Automatic1111 UI and Stable Diffusion for AI art creation. Hands-on approach with project-based learning to explore image generation using artificial intelligence.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

CNN Confusion Matrix with PyTorch - Neural Network Programming

Learn to build, plot, and interpret a confusion matrix using PyTorch for neural network evaluation, including techniques for disabling gradient tracking and analyzing model performance across different classes.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

CNN Training Loop Explained - Neural Network Code Project

Learn to build a convolutional neural network training loop using Python and PyTorch. Gain practical skills in implementing deep learning algorithms for image processing tasks.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

CNN Weights - Learnable Parameters in PyTorch Neural Networks

Explore PyTorch's inner workings, including OOP concepts, convolutional and linear layer weight tensors, and matrix multiplication for deep learning in neural networks.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

Build PyTorch CNN - Object-Oriented Neural Networks

Learn to build a convolutional neural network using PyTorch for computer vision and AI applications. Gain hands-on experience in implementing object-oriented neural network architectures.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Batch Normalization in PyTorch - Adding Normalization to Convolutional Neural Network Layers

Learn to add batch normalization to convolutional neural networks in PyTorch and compare training results with and without it.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

PyTorch Sequential Models - Neural Networks Made Easy

Learn three ways to build PyTorch neural networks with the Sequential class, including class-based models and reproducible predictions using random seeds.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

PyTorch DataLoader Source Code Debugging - Batch Building and Normalization

Debug the PyTorch DataLoader source code to trace sampling, batching, dataset extraction, normalization, and tensor-to-image conversion.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

PyTorch Dataset Normalization Using torchvision.transforms.Normalize()

Learn to normalize datasets in PyTorch through feature scaling, color-channel standardization, code, and neural network training examples.

• YouTube
• 26 minutes
• Self-Paced
• Free Video