리뷰 Text classification using reusable embeddings개
리뷰 5264개
NAKANISHI D. · 2시간 전에 리뷰됨
I got problem most of the time due to difficulties running the code
Bintang A. · 1일 전에 리뷰됨
Bhavesh Vijay Patil G. · 2일 전에 리뷰됨
very good lab
Anirudh S. · 2일 전에 리뷰됨
Ahamed S. · 3일 전에 리뷰됨
KOMAL B. · 3일 전에 리뷰됨
Eshal F. · 4일 전에 리뷰됨
552_YASH SATISH S. · 4일 전에 리뷰됨
PRANAV VINAYAK T. · 4일 전에 리뷰됨
759_Rishima G. · 4일 전에 리뷰됨
Varada V. · 4일 전에 리뷰됨
Asad A. · 4일 전에 리뷰됨
This lab has significant environment and execution issues that prevent successful completion even when instructions are followed correctly. 1. **Broken Python Environment** Multiple students (including myself) encountered missing core dependencies such as `pkg_resources` and `tensorflow.keras.utils`. These are fundamental packages and should not be missing in a pre-configured lab environment. This indicates improper environment setup. 2. **TensorFlow Hub Integration Failure** The lab requires `tensorflow_hub.KerasLayer`, but the environment frequently fails to import it due to dependency issues. This blocks all subsequent tasks (NNLM and Swivel models), making the lab impossible to complete. 3. **Lack of Dependency Setup Instructions** The notebook assumes all packages are pre-installed and functional, but in reality: * `setuptools` may be missing * `tensorflow-hub` may be broken or incompatible There are no troubleshooting or fallback instructions provided. 4. **Execution Order Sensitivity Without Guidance** The notebook heavily depends on strict cell execution order, but does not explicitly warn users. Any kernel restart or skipped cell leads to cascading `NameError` issues, confusing learners. 5. **No Debugging Support** There is no guidance for handling common failures such as: * import errors * environment inconsistencies * TF-Hub download failures --- ### Suggested Improvements * Provide a verified working environment or requirements check at the start * Add a setup cell to install/validate dependencies (`tensorflow`, `tensorflow-hub`, `setuptools`) * Include explicit instructions to restart kernel and run all cells in order * Add troubleshooting section for common errors * Validate TF-Hub imports before proceeding to model building --- Overall, the lab content is valuable, but the current execution environment makes it unreliable and frustrating for students. Addressing these issues would significantly improve the learning experience.
521_SAURABH H. · 4일 전에 리뷰됨
Devesh B. · 4일 전에 리뷰됨
521_SAURABH H. · 4일 전에 리뷰됨
VIJAYRAGHAVAN U. · 5일 전에 리뷰됨
worst lab ever
SNEHA Y. · 5일 전에 리뷰됨
931_Keerthana S. · 5일 전에 리뷰됨
shalini m. · 5일 전에 리뷰됨
759_Rishima G. · 5일 전에 리뷰됨
759_Rishima G. · 5일 전에 리뷰됨
Soham M. · 5일 전에 리뷰됨
Jaswant R. · 5일 전에 리뷰됨
Absolutely pathetic. No dependency is being resolved I had to install packages on my own. No import is being resolved
Arnav D. · 5일 전에 리뷰됨
nice
Durga Aditya P. · 5일 전에 리뷰됨
Google은 게시된 리뷰가 제품을 구매 또는 사용한 소비자에 의해 작성되었음을 보증하지 않습니다. 리뷰는 Google의 인증을 거치지 않습니다.