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Mathematical Methods in Image Processing and Inverse Problems: Ipip 2018, Bei…
Mathematical Methods in Image Processing and Inverse Problems: Ipip 2018, Bei…
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Mathematical Methods in Image Processing and Inverse Problems: Ipip 2018, BeijingThe International Conference on Mathematical Methods in Image Processing and Inverse Problems (Ipip) is set to take place in Beijing this year. This conference brings together researchers and practitioners from around the world to discuss the latest advancements in image processing and inverse problems.
Topics to be covered at Ipip 2018 include:
– Image denoising and restoration
– Image segmentation and classification
– Inverse problems in imaging
– Deep learning for image processing
– Medical imaging and computer-aided diagnosisExperts in the field will present their latest research findings and share insights on the challenges and opportunities in image processing and inverse problems. Participants will have the opportunity to network with peers, learn about cutting-edge technologies, and engage in discussions on the future of the field.
If you are interested in mathematical methods in image processing and inverse problems, be sure to mark your calendar for Ipip 2018 in Beijing. Stay tuned for updates on the conference program and keynote speakers. We hope to see you there!
#Mathematical #Methods #Image #Processing #Inverse #Problems #Ipip #Bei..
Deep Reinforcement Learning with Python: Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow, 2nd Edition
Price: $22.39
(as of Dec 18,2024 00:09:12 UTC – Details)
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Packt is a leading publisher of technical learning content with the ability to publish books on emerging tech faster than any other.
Our mission is to increase the shared value of deep tech knowledge by helping tech pros put software to work.
We help the most interesting minds and ground-breaking creators on the planet distill and share the working knowledge of their peers.
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ASIN : B08HSHV72N
Publisher : Packt Publishing; 2nd edition (September 30, 2020)
Publication date : September 30, 2020
Language : English
File size : 31652 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 762 pages
Page numbers source ISBN : 1839210680
Looking to dive deep into the world of reinforcement learning with Python? Look no further than the newly updated 2nd edition of “Deep Reinforcement Learning with Python.” This comprehensive guide will help you master classic RL techniques, deep RL algorithms, distributional RL, inverse RL, and much more using popular tools like OpenAI Gym and TensorFlow.Whether you’re a beginner looking to get started with RL or an experienced practitioner looking to expand your skills, this book has something for everyone. You’ll learn how to build and train RL agents to solve a variety of challenging tasks, from simple grid worlds to complex video games.
With hands-on examples and practical exercises, you’ll gain a deep understanding of the principles behind RL and how to apply them to real-world problems. By the end of the book, you’ll be able to design and implement your own RL algorithms and tackle a wide range of tasks with confidence.
Don’t miss out on this opportunity to level up your RL skills with Python. Get your copy of “Deep Reinforcement Learning with Python, 2nd Edition” today!
#Deep #Reinforcement #Learning #Python #Master #classic #deep #distributional #inverse #OpenAI #Gym #TensorFlow #2nd #Edition
