Posts about lecture
- Convolutional Layers in PyTorch
- Tips, Tricks and Other Notes
- Part 8 - Transfer Learning
- Part 6 - Saving and Loading Models
- Part 5 - Inference and Validation
- Training Neural Networks
- Backpropagation Implementation (Again)
- Backpropagation
- Multi-Layer Perceptrons
- Training with Gradient Descent
- Gradient Descent (Again)
- Inspecting the Weights
- Removing Noise
- The Network Parts
- Exploring the Reviews Dataset
- Sentiment Classification Lectures
- Gradient Descent
- Logistic Regression
- Multi-Class Cross Entropy
- Maximum Likelihood
- One-Hot Encoding
- Softmax
- Non-Linear Regions
- The Perceptron Algorithm
- Perceptrons
- Introduction to Neural Networks