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Deep Learning Basics

Backpropagation and Gradient Descent: The Backbone of Neural Network Training

How do neural networks learn? Lets explore backpropagation and gradient descent and their critical roles in updating weights through the lens of loss minimization.

Jeremy London

• Apr 12, 2024

Deep Learning Basics

What is a Multi-Layer Perceptron (MLP)?

Unlock the fundamentals of Multi-Layer Perceptrons (MLPs) with a hands-on approach, exploring a seven-layer network example and exploring forward propagation.

Jeremy London

• Apr 4, 2024

Deep Learning Basics

Batch Processing Three Inputs

Learn how neural networks handle batches of inputs, using three different input vectors to demonstrate the application of weights across a batch for efficient computation.

Jeremy London

• Mar 28, 2024

Deep Learning Basics

Understanding Hidden Layers

Dive deeper into neural network architecture by adding and understanding the computations involved in a hidden layer, laying the groundwork for more complex networks.

Jeremy London

• Mar 21, 2024

Deep Learning Basics

From Simple to Complex: Unraveling Four-Neuron Networks

Elevate your neural network knowledge by transitioning from the simplicity of a single neuron to the intricate dynamics of a four-neuron layer, complete with ReLU activation insights.

Jeremy London

• Mar 14, 2024

Posts by category

Deep Learning Basics

Backpropagation and Gradient Descent: The Backbone of Neural Network Training

How do neural networks learn? Lets explore backpropagation and gradient descent and their critical roles in updating weights through the lens of loss minimization.

Jeremy London

• Apr 12, 2024

Deep Learning Basics

What is a Multi-Layer Perceptron (MLP)?

Unlock the fundamentals of Multi-Layer Perceptrons (MLPs) with a hands-on approach, exploring a seven-layer network example and exploring forward propagation.

Jeremy London

• Apr 4, 2024

Deep Learning Basics

Batch Processing Three Inputs

Learn how neural networks handle batches of inputs, using three different input vectors to demonstrate the application of weights across a batch for efficient computation.

Jeremy London

• Mar 28, 2024