Neural Network Math by MICHAEL TAYLOR - https://www.google.com/search?sxsrf=AOaemvL2kwKXsOal_HZK72qNa68RRWndkw:1642256572635&q=The+Math+of+Neural+Networks&stick=H4sIAAAAAAAAAI1UO2jVUBhubmu9jbX0phX0ulyvCLWIN-_kuLT4QsGqaB2cws3Jq3mc3OTEPO4iFBR08gEKLoI4-NpcxEFEJx0cHHRRETdXQdBFvbbNCR0El5DvfP_3fef_c3LqG9qbO3aH4yzOzXUfcfxMbMIwCExkmEZLD0MPt6wwbiHzXNz1W0E3cczBYwni19SqEmJWBqzeL7HDAS4IRIJdALO-L4HXFN0JOqyogFQXS7KMJWJBdz0hT8tiTeEziZCWHAmqZKyREqdmAiDb4DKb1ZNB7PhfzOuBnCSRu1YLrT6fSxWHUk0SiQ9gOYVwCHscTqpuepKN5LSiNc_C_VLKaqCwCRdzTpBqRKoawICKXKUmKkQ-kfYlFJW1CPU83eKcai5xbjhF2Q0S5EyQWb2kdSVSsBirlRcQUNWOCJJqvz3WsEk7EZYzB9hWORYRiIJKXIteJOIMkpEqouVrASJYEryAE7MSD-ZtG65BsJFHMFcsnvAQ2FmaaBV2eQ5bKWla4QM36BG9o7lZEeTV7KFnCTgqyFACCWQCX2EFRzhVyUl0WMGzUjYqmxMg4nrVxxEh7vtEq_qRLkOW4Ajkej9TvlDXhzdNfv3xaap5afjao1fvqOVhemS_iRPmQo3edNpMFsOF0FiyCuY7xXyj6MljYYhNvzhl-t3ENBZDZg89egglS0nBjDdpur5yjmPX5qfp1ShP9qBjqL3J259vUMwDar3rLYq5-Z-uEtDxP1zPrDc9zBykxxbMQDdjfMJidtL0gdD3TZgshYjZ0pyiGx1IFjorf3174tTY3xA90aDwnKrtq83U2sODlzbitadvb7wZPdu4-_H378cnTs43d88y9Maj-FgIu37jPf1yy-XT9-dmp-j6YjcPURgUjWtHrno_lb1z7R1j2rbpoe8fPs81HjZ_nZ84Mzu_td6iZkY4Z9evuYtP2OezQ4OU5Wf3XoyO1KnJoX6tPjF-Z8P2RcdsLQyun1ZotY6v3kbHzSQLYw9fGaX-ALQqOu7JBAAA&sa=X&ved=2ahUKEwjE3ZC9-rP1AhWESWwGHRiOCRoQ-BZ6BAgKEBM
1- Mathematics of Neural Networks. Models, Algorithms and Applications
By: Ellacott Stephen W., Mason John C., Anderson Iain J.
2- Discrete Mathematics of Neural Networks: Selected Topics
By: Martin Anthony
3- Qualitative Analysis and Synthesis of Recurrent Neural Networks
By: Anthony N. Michel
4- Hands-On Mathematics for Deep Learning: Build a solid mathematical foundation for training efficient deep neural networks
By: Jay Dawani
5- Comprehensive Mathematics for Computer Scientists 2. Calculus and ODEs, Splines, Probability, Fourier and Wavelet Theory, Fractals and Neural Networks, Categories and Lambda Calculus