Deep Learning At Scale: The Intersection Of Hardware Software And Data Suneeta Mall O&Apos Reilly Media Αγγλικά Βιβλία Computing Technology

Bringing A Deep-Learning Project Into Production At Scale Is Quite Challenging To Successfully Your Foundational Understanding Of Full Stack Deep Learning Including The Knowledge That Lies Intersection Hardware Software Data And Algorithms Required This Book Illustrates Complex Concepts Reinforces Them Through Hands-On Exercises Arm You With Tools Techniques Scaling Effort Only Beneficial When It\ S Effective Efficient End Guide Explains Intricate Will Help Effectively Efficiently You\ Ll Gain Thorough Of:how Flows Network Role Computation Graphs Play In Building Modelhow Accelerated Computing Speeds Up Training How Best Can Utilize Resources Disposalhow Train Model Using Distributed Paradigms I E Pipeline Parallelismhow Leverage Pytorch Ecosystems Conjunction Nvidia Libraries Triton Trainingdebugging Monitoring Investigating Undesirable Bottlenecks Slow Down Traininghow Expedite Lifecycle Streamline Feedback Loop Iterate Developmenta Set Tricks Apply Select Right For Projectoptions Managing Compute Infrastructure Running Σελίδες: 400 Διαστάσεις: 17 8X17 8Cm