Simple Artificial Neural Network entirely in assembly language

In this video I combine all the assembly language functions from the previous videos to create a functional (yet very simple) artificial neural network. It has a single layer of artificial neurons, employing the logistic (sigmoid) activation function. I implemented the forward pass, loss computation (using Mean Square Error - MSE), and the backward pass for the backpropagation algorithm. Data is stored in vectors of 32-bit floating point numbers. I am using x87 floating point operations. The code is written in x86 64-bits assembly language. The test program uses Linux SYSCALLs for writing to the console. Previous videos of interest: Blueprint for an Artificial Neural Network entirely in Assembly Language:    • Blueprint for an Artificial Neural Ne...   Vector operations videos (initialization, copy, multiplication, Sigmoid, Sigmoid derivative, Scalar product, Hadamard product, Dot product, Outer product, addition, subtraction):    • Vectors in assembly language PART1      • Vectors in assembly language PART2      • Vectors in assembly language PART3 (c...      • Vectors PART4 (addition, subtraction)      • Vectors outer product in assembly lan...   Matrix operations:    • Matrix operations in assembly language   Mean Squared Error (MSE):    • Mean squared error (MSE) in assembly ...   Writing to the Linux console using SYSCALL:    • Writing to Linux console in 64bit ass...   My Assembly Language playlist:    • x86 Assembly Language   Chapters: 00:00 Introduction 00:50 Input, Output, Internal data 01:40 Forward pass 02:46 Loss 03:05 Backward pass 05:00 Artificial Neural Network code with functions for layerForward, outputLoss, layerBackward 15:15 Main training code and training data 25:55 Build Bash script for compilation 26:44 Running the neural network in training mode 27:23 Analysis of information displayed during network training #assemblylanguage #ai #artificialintelligence #linux #neuralnetworks #artificialneuralnetwork #artificialneuralnetworks #x86 #64bits #8087