The little beggar Ji Wujin's soul transmigrated into the body of a poor brothel bawd and became a enchanting woman carrying a young boy's soul. He had to struggle hard to make the brothel flourish in order to create an inspiring story.
In his previous life, he was treated as a test subject and buried in the sea of fire. He thought that he would recover his abilities, but he didn't expect that he would be reborn in the body of a young miss. Bringing the divine doctor technique from his previous life, this life bloomed with a rainbow-colored light! Trash? Idiot? All magi, who are you calling trash? Unable to contract a magical beast? I'm sorry, but the beast she contracted with is one of the Seven Divine Beasts! "An old woman that no one else wants to marry?" Six realms tribute, ten thousand miles red makeup, the position of Heavenly Queen, do you want to marry?
When others transmigrated, Lu Zhu transmigrated, and when others transmigrated, their handsome brothers would fly everywhere, and even the worst among them would be saved by their handsome brothers. Why did Lu Zhu transmigrated, not only did he bring a 'burden bottle', he even brought a 'burden bottle', but he actually unluckily saved Old Lady ...The unlucky star was the top. Lu Zhu accepted it. They had all become self-reliant and found ways to survive. Why did he have to meet a tyrant when he started his own business in the ancient times?Wahaha... The handsome guy was here, and there was more than one of him. The other side was using a group chat, so she might as well use a group chat. It looked like she had had her bad luck, good luck ...What? The lousy Old Lady he saved was the empress dowager. These handsome men were her sons ... Great, not only was there the handsome guy, there was also Jin Shan waiting for Lu Zhu to go splurge, what a beautiful life ...
With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models for NLP under a unified framework. NLP problems are systematically organised by their machine learning nature, including classification, sequence labelling, and sequence-to-sequence problems. Topics covered include statistical machine learning and deep learning models, text classification and structured prediction models, generative and discriminative models, supervised and unsupervised learning with latent variables, neural networks, and transition-based methods. Rich connections are drawn between concepts throughout the book, equipping students with the tools needed to establish a deep understanding of NLP solutions, adapt existing models, and confidently develop innovative models of their own. Featuring a host of examples, intuition, and end of chapter exercises, plus sample code available as an online resource, this textbook is an invaluable tool for the upper undergraduate and graduate student.
Xiao Yue and a few of her classmates went to the Di Dao Hall to celebrate their entrance exam. She didn't expect to be kidnapped by someone, and even had a kiss from a crazy person.If she was to be a queen, she didn't even have a door, but there were still windows. She would only return after playing for a year, but she had to sign a contract with him first. She could be a temporary actress for a year.Just like this, Xiao Yue signed the empress agreement with the Black Emperor's Imperial Palace and started her life of transmigration.
The little beggar Ji Wujin's soul transmigrated into the body of a poor brothel bawd and became a enchanting woman carrying a young boy's soul. He had to struggle hard to make the brothel flourish in order to create an inspiring story.
This book presents the breakthrough and cutting-edge progress for collaborative perception and mapping by proposing a novel framework of multimodal perception-relative localization–collaborative mapping for collaborative robot systems. The organization of the book allows the readers to analyze, model and design collaborative perception technology for autonomous robots. It presents the basic foundation in the field of collaborative robot systems and the fundamental theory and technical guidelines for collaborative perception and mapping. The book significantly promotes the development of autonomous systems from individual intelligence to collaborative intelligence by providing extensive simulations and real experiments results in the different chapters. This book caters to engineers, graduate students and researchers in the fields of autonomous systems, robotics, computer vision and collaborative perception.
This will help us customize your experience to showcase the most relevant content to your age group
Please select from below
Login
Not registered?
Sign up
Already registered?
Success – Your message will goes here
We'd love to hear from you!
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.