This page was exported from Latest Exam Prep [ http://certify.vceprep.com ] Export date:Sat Sep 21 11:27:58 2024 / +0000 GMT ___________________________________________________ Title: Get H13-311_V3.0 Braindumps & H13-311_V3.0 Real Exam Questions [Q57-Q73] --------------------------------------------------- Get H13-311_V3.0 Braindumps & H13-311_V3.0 Real Exam Questions Huawei H13-311_V3.0 Actual Questions and Braindumps Huawei H13-311_V3.0 (HCIA-AI V3.0) Certification Exam is a comprehensive exam that covers a broad range of topics related to artificial intelligence. H13-311_V3.0 exam is divided into several sections, each of which covers a specific area of AI, including machine learning, neural networks, natural language processing, and computer vision. H13-311_V3.0 exam is designed to test the candidate's understanding of the principles and concepts of AI, as well as their ability to apply this knowledge to real-world scenarios. Candidates who pass the exam will receive the HCIA-AI V3.0 certification, which is recognized by organizations worldwide as a mark of proficiency in the field of artificial intelligence. Huawei H13-311_V3.0 (HCIA-AI V3.0) Certification Exam is intended for IT professionals who have a solid understanding of AI technologies and are looking to advance their careers in this field. HCIA-AI V3.0 Exam certification is also ideal for professionals who are looking to demonstrate their expertise to potential employers, clients, or colleagues. Candidates who pass the exam will be recognized as HCIA-AI V3.0 certified professionals, which will help them stand out in a competitive job market and open up new career opportunities. Overall, the Huawei H13-311_V3.0 (HCIA-AI V3.0) Certification Exam is an excellent way for IT professionals to validate their expertise in AI technologies and advance their careers in this exciting field.   NEW QUESTION 57Which of the following is an image label service URI?  /v1.0/image/recognition  /v1.0/image/celebrity-recognition  /v1.0/image/recapture-detect  /v1.0/image/tagging NEW QUESTION 58On-Device Execution, that is, the entire image is offloaded and executed, and the computing power of the Yiteng chip can be fully utilized, which can greatly reduce the interaction overhead, thereby increasing the accelerator occupancy rate. On-Device The following description is wrong?  MindSpore Realize decentralized autonomy through adaptive graph optimization driven by gradient data A11 Reduce, Gradient aggregation is in step, and calculation and communication are fully streamlined  Challenges of model execution under super chip computing power: Memory wall problems, high interaction overhead, and difficulty in data supply. Partly in Host Executed, partly in Device Execution, interaction overhead is even much greater than execution overhead, resulting in low accelerator occupancy  MindSpore Through the chip-oriented depth map optimization technology, the synchronization wait is less, and the “data computing communication” is maximized. The parallelism of “trust”, compared with training performance Host Side view scheduling method is flat  The challenge of distributed gradient aggregation under super chip computing power:ReslNet50 Single iteration 20ms Time will be generated The synchronization overhead of heart control and the communication overhead of frequent synchronization. Traditional methods require 3 Synchronization completed A11 Reduce, Data-driven method autonomy A11 Reduce, No control overhead NEW QUESTION 59Regarding the face search service, which of the following statements are correct?  When there is no face set, you need to create a face set first, then add face data, and then search  The size of a face set cannot exceed 10000 Pictures  There is a dedicated interface to delete the specified face set  There is a dedicated interface to delete the face data in a certain face set NEW QUESTION 60The autoencoder is an unsupervised learning algorithm.  True  False NEW QUESTION 61According to the development process of the robot, it is usually divided into three generations, respectively are: (Multiple Choice)  Teaching Reproduction Robot  Robot with sensation  Robots that will think  Intelligent robot NEW QUESTION 62PEP 8 stipulates how many spaces are needed to indent the first line of Python?  1  2  4  8 NEW QUESTION 63The meaning of artificial intelligence was first proposed by a scientist in 1950, and at the same time a test model of machine intelligence was proposed Who is this scientist?  Minsky  Zade  Turing  Von Neumann NEW QUESTION 64Pytorch Which company launched it first?  Baidu  Google  Facebook  Huawei NEW QUESTION 65Which of the following are the elements of artificial intelligence? (Multiple choice)  Algorithm  Computing power  Data  Scene NEW QUESTION 66Self-encoder is an unsupervised learning algorithm  True  False NEW QUESTION 67In TensorFlow, data is represented in the form of tensors and calculation charts.  True  False NEW QUESTION 68What is in the category of artificial intelligence? (Multiple choice)  Action  Perception  Cognition  None of the above NEW QUESTION 69The model composed of machine learning algorithms cannot represent the true data distribution function on a theoretical level. Just approach it.  TRUE  FALSE NEW QUESTION 70The following statement about recurrent neural networks is wrong?  Recurrent neural network can be unfolded according to the time axis  LSTM Unable to solve the problem of vanishing gradient  LSTM It is also a recurrent neural network  Recurrent neural network can be abbreviated as RNN NEW QUESTION 71Generating a confrontation network is like a game system. The generator generates fake samples, and the discriminator judges whether it is true or false. Our ideal result is?  The generator produces roughly the same samples  The discriminator efficiently distinguishes the true and false samples generated by the generator  The discriminator cannot distinguish the true and false samples generated by the generator  The generator produces different samples NEW QUESTION 72Artificial intelligence is the research and development of theories, methods and application systems used to simulate, extend and expand human intelligence Of a new technological science.  TRUE  FALSE NEW QUESTION 73TensorFlow is the second-generation artificial intelligence learning system developed by Google based on .  DistBelief  PaleyFunction  ConvexOne  Infinity  Loading … H13-311_V3.0 Dumps To Pass Huawei Exam in 24 Hours - VCEPrep: https://www.vceprep.com/H13-311_V3.0-latest-vce-prep.html --------------------------------------------------- Images: https://certify.vceprep.com/wp-content/plugins/watu/loading.gif https://certify.vceprep.com/wp-content/plugins/watu/loading.gif --------------------------------------------------- --------------------------------------------------- Post date: 2023-08-30 14:13:12 Post date GMT: 2023-08-30 14:13:12 Post modified date: 2023-08-30 14:13:12 Post modified date GMT: 2023-08-30 14:13:12