Neural Networks: Exercises Solutions

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Logic Systems: TTL Gates and Analog Aspects

Explores TTL gates, analog aspects, and various logic gates in digital circuits.

Logic Systems: Karnaugh Maps and TTL Gates

Explores Karnaugh maps, TTL gates, analog aspects of digital logic, and prime implicants.

Logical Circuits: Basics

Covers logical circuits, gates, and their combinations to perform basic operations on bits, including adding binary numbers.

Karnaugh Maps: Grouping Techniques

Explores Karnaugh maps, grouping rules, and transistor logic in logic systems.

Logic Gates and IC Technology

Explores the implementation of logic gates in semiconductor material, focusing on TTL and CMOS technologies, ICs, hazards, clocks, D flip-flops, and switch debouncing.

Introduction to Logisim Evolution: Basics of Digital Circuit Design

Introduces Logisim Evolution, focusing on basic components for digital circuit design.

Complex Gates: Exercise-2 Solution

Covers the design of complex logic gates in VLSI.

Quantum Computing: Molecular Transistors and Logic Gates

Delves into molecular transistors, logic gates, and their design using molecular technology.

Neural Networks: Two Layers Neural Network

Covers the basics of neural networks, focusing on the development from two layers neural networks to deep neural networks.

Static Logic Fundamentals

Covers the fundamentals of static logic, including noise immunity, noise margins, and various logic gate designs.