Comprehensive guide to implementing neural networks using the Go programming language. Covers neural network architecture, training algorithms, and machine learning concepts.
Building a Neural Net from Scratch in Go is a comprehensive guide to implementing neural networks using the Go programming language. The book covers topics such as neural network architecture, training algorithms, and machine learning concepts, providing a practical and hands-on approach to building neural networks from the ground up.
cgo
, highlighting the numerical functionality available natively in Gogonum
matrix input, similar to how numpy
arrays are used in Python machine learning functionsThis course is recommended for Go developers who are interested in building machine learning models from scratch. It provides a solid foundation in neural network architecture and training algorithms, making it a valuable resource for those looking to expand their skills in the field of artificial intelligence and machine learning.
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