Opinie (Text classification using reusable embeddings)

Bhavesh Vijay Patil G. · Sprawdzono około 9 godzin temu

very good lab

Anirudh S. · Sprawdzono około 17 godzin temu

Ahamed S. · Sprawdzono 1 dzień temu

KOMAL B. · Sprawdzono 1 dzień temu

Eshal F. · Sprawdzono 2 dni temu

552_YASH SATISH S. · Sprawdzono 2 dni temu

PRANAV VINAYAK T. · Sprawdzono 2 dni temu

759_Rishima G. · Sprawdzono 2 dni temu

Varada V. · Sprawdzono 2 dni temu

Asad A. · Sprawdzono 2 dni temu

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. · Sprawdzono 3 dni temu

Devesh B. · Sprawdzono 3 dni temu

521_SAURABH H. · Sprawdzono 3 dni temu

VIJAYRAGHAVAN U. · Sprawdzono 3 dni temu

worst lab ever

SNEHA Y. · Sprawdzono 3 dni temu

931_Keerthana S. · Sprawdzono 3 dni temu

shalini m. · Sprawdzono 3 dni temu

759_Rishima G. · Sprawdzono 3 dni temu

759_Rishima G. · Sprawdzono 4 dni temu

Soham M. · Sprawdzono 4 dni temu

Jaswant R. · Sprawdzono 4 dni temu

Absolutely pathetic. No dependency is being resolved I had to install packages on my own. No import is being resolved

Arnav D. · Sprawdzono 4 dni temu

nice

Durga Aditya P. · Sprawdzono 4 dni temu

nice

Sujana M. · Sprawdzono 4 dni temu

I completed the assessment but when I clicked check my progress its not updating

lakshay a. · Sprawdzono 4 dni temu