The book should serve as a text for a university graduate course or for an advanced undergraduate course on neural networks in engineering and computer science departments. It should also serve as a self-study course for engineers and computer scientists in the industry. Covering major neural network approaches and architectures with the theories, this text presents detailed case studies for each of the approaches, accompanied with complete computer codes and the corresponding computed results. The case studies are designed to allow easy comparison of network performance to illustrate strengths and weaknesses of the different networks.

Nancy Tremblay is a multi-millionaire who brings sparkle, energy and money into this novel. There is family drama and estrangements that readers can relate to and brings their emotions to the very core of their being. Suzanne and Nancy are thrust into a world of foreign intrigue, murder and profound turmoil. International art crime theft is at the crux of Beyond Murder. The home base for this novel takes place in Boston, MA. Madaline Mason, acclaimed actress friend of Suzanne Morse hires a private detective to find the person or person's threatening her life. Madaline has kept a secret hidden for years. After being raped as a young girl she was forced to give up her baby for adoption. Kyle Mason, the son of Madaline, has been accused of killing his gay lover, art curator, Curtis Jones. A world the women never knew existed transports them on a wild chase from museums to exotic places including death defying confrontations with the Yakuza (the Japanese Mafia). Suzanne's personal life is in crises mode on several fronts. Her strong religious convictions are tested when her oldest daughter intends to convert from Judaism to Christianity. In Beyond Murder Suzanne and Nancy, with the help of the FBI, Interpol and the Japanese police, find the killer of Curtis Jones. They also learn about the enormity of dollars that is lost, each year, in the world of international art crime and artifact crime theft. Suzanne and longtime love, Stephen, are at odds of his non commitments to divorce his habitually intoxicated wife and marry Suzanne. Nancy meets her love when the two women arrive in San Diego to help Kyle in his defense in the murder of Curtis Jones. Rich is the lead detective of homicide in San Diego.

The Crisis, founded by W.E.B. Du Bois as the official publication of the NAACP, is a journal of civil rights, history, politics, and culture and seeks to educate and challenge its readers about issues that continue to plague African Americans and other communities of color. For nearly 100 years, The Crisis has been the magazine of opinion and thought leaders, decision makers, peacemakers and justice seekers. It has chronicled, informed, educated, entertained and, in many instances, set the economic, political and social agenda for our nation and its multi-ethnic citizens.

The world of cybersecurity and the landscape that it possesses is changing on a dynamic basis. It seems like that hardly one threat vector is launched, new variants of it are already on the way. IT Security teams in businesses and corporations are struggling daily to fight off any cyberthreats that they are experiencing. On top of this, they are also asked by their CIO or CISO to model what future Cyberattacks could potentially look like, and ways as to how the lines of defenses can be further enhanced. IT Security teams are overburdened and are struggling to find ways in order to keep up with what they are being asked to do. Trying to model the cyberthreat landscape is a very laborious process, because it takes a lot of time to analyze datasets from many intelligence feeds. What can be done to accomplish this Herculean task? The answer lies in Artificial Intelligence (AI). With AI, an IT Security team can model what the future Cyberthreat landscape could potentially look like in just a matter of minutes. As a result, this gives valuable time for them not only to fight off the threats that they are facing, but to also come up with solutions for the variants that will come out later. Practical AI for Cybersecurity explores the ways and methods as to how AI can be used in cybersecurity, with an emphasis upon its subcomponents of machine learning, computer vision, and neural networks. The book shows how AI can be used to help automate the routine and ordinary tasks that are encountered by both penetration testing and threat hunting teams. The result is that security professionals can spend more time finding and discovering unknown vulnerabilities and weaknesses that their systems are facing, as well as be able to come up with solid recommendations as to how the systems can be patched up quickly.