Skip to main content

Deep Learning with Python

Title: Deep Learning with Python

Author: Francois Chollet

Press: Manning

ISBN: 9781633436589

Edition: 3rd  

Introduction:  Deep Learning with Python, Third Edition puts the power of deep learning in your hands. This new edition includes the latest Keras and TensorFlow features, generative AI models, and added coverage of PyTorch and JAX. Learn directly from the creator of Keras and step confidently into the world of deep learning with Python.

Practical Tips for Academic Research with VSCode and Zotero

This lecture focuses on the practical application scenarios of VSCode and Zotero, sharing commonly used software configurations, extensions and efficiency skills for academic research. The content covers basic settings of VSCode, essential shortcut keys, Python/AI project development, remote development, as well as interface and layout optimization. It also includes literature collection, classification management, PDF annotation, citation insertion and plugin configuration in Zotero. Combined with specific operational examples, the lecture highlights recommended extensions, typical troubleshooting and practical experience. It aims to help participants proficiently utilize these tools and improve the overall efficiency of coding development, literature reading, document organization and academic paper writing. Speaker: Lan Tu Introduction: A doctoral student in Electrical Engineering at Zhejiang University, specializing in the application of artificial intelligence in the power system field. Time: May. 8th, 2026, 15:30~16:30, Friday Location: Library Multi-function Room, 1st Floor Mode: Live Online Link: https://meeting.dingtalk.com/j/GsN5yo8T4S0 DingTalk Meeting ID: 220082455 Scan to watch Language: English Participants: All This semester, our information literacy lectures launch a check-in system: attend five in-person sessions and share your insights to claim a specially prepared gift! For videos of past lectures and more lectures information, please visit the Library's website at the following link: https://lib.intl.zju.edu.cn/zh-hans/learning-research-support/information-literacy-training-schedule Library May. 7th, 2026

Trial Access Notice: Web of Science Research Assistant

Web of Science Research Assistant is an academic generative AI tool for literature search and analysis, built on the Web of Science Core Collection citation index. Key features include: optimized search efficiency, multilingual search, core literature identification, content extraction, visual relationship analysis, guided complex tasks, and literature review generation. It intelligently decomposes complex research topics into sub-fields, auto-matches search strategies, and generates structured reviews covering research overview, key findings, research gaps, conclusions, and potential hypotheses. ● Access URL https://www.webofscience.com/wos/research-assistant ● Access Method On-campus IP-controlled access ● Trial Period From now until June 19,2026 About Web of Science AI Research Assistant The Web of Science AI Research Assistant helps researchers identify key papers faster, tackle complex research tasks, and visualize relationships. Its chat interface, powered by the Web of Science Knowledge Graph, enables interactive discovery from over 120 years of trusted publications and citation data in the Web of Science Core Collection. Key Features Flexible Literature Search — Users can search in natural language across multiple languages. The tool provides research-area-specific summaries based on over 120 years of scientific literature, revealing connections between concepts and papers. Guided Prompts and Tasks — The tool offers contextual suggestions to help users refine prompts, broaden or narrow research scope. Guided tasks assist researchers in "Understanding a Topic," obtaining a "Literature Review," or "Finding a Journal" to pinpoint exact needs. Unique Data Visualization — Users can explore research trends, topic maps, and co-citation networks to examine specific research topics from multiple perspectives for deeper insights. Webinar Replay & User Guide (Scan QR code to view/download the user guide) Additional Learning Resources 1. Clarivate Learning Center Offering recorded courses, short videos, and documentation tailored to research and library analytics needs. https://clarivate.libguides.com/china 2. Follow "Clarivate" on WeChat and Channels For more online courses, tutorials, academic updates, Research Fronts white paper downloads, and webinar announcements. 3. Clarivate Technical Support For access issues, paper indexing, or data corrections, please contact our technical experts. Tel: 021-80369475 Email: ts.support.china@clarivate.com Library April 24th, 2026

Notice on Undergraduates’ Textbook Settlement for 2025-2026 Academic Year

Dear all, The settlement of undergraduates’ textbooks for 2025-2026 Academic year is about to start. Students from ZJE/ZJUI (2022-2025) should confirm the textbook settlement information and pay the textbook fees by April 30th. Details are as follows: 1. Eligible Students Students from ZJE/ZJUI (2022-2025) 2. The Confirmation of Textbook Settlement Please login to the Textbook Management Platform- My Textbook to check personal textbook details by June 9th. 3. Textbook Settlement 3.1 The Refund of Textbook Processing Time: The remaining cost will be refunded to the personal bank account applied by Zhejiang University from May 11th. Bank Account Requirements: Please associate your bank card with your student ID before June 10th to ensure a successful refund. Please check the binding status of campus card through the "Zhejiang University Campus Card" app. If it displays as the personal bank account applied by ZJU, it means the binding is successful. If not, please follow the following process to bind the bank card (only the Chinese edition App support binding service): “中国银行手机银行（中文版）”-登陆-生活（定位改至“杭州”）-生活缴费-校园卡-浙大一卡通-绑定。 Special Case: If the bank refund is unsuccessful, the library will promptly notify the relevant students to process the refund. Please check your email for notifications. 3.2 The Payment of Arrears For students with outstanding textbook fees, please follow the instructions in the Textbook Management Platform - Student Textbook Fee Payment Module to pay the outstanding fees by May 10th. If you have questions about refund amount, please contact Ms. Yang at 0571-87572299 (Monday -- Friday, 8:30-17:00). If you have questions about the refund method, please contact Ms. Yao at 0571-87572130 (Monday -- Friday, 8:30-17:00). the Campus Financial Center Library April 27th, 2026
Subscribe to