PDC4S:\IT\DATA SCIENCE AND MACHINE LEARNING\Deep Learning in Practice I Basics and Dataset Design\2. [Beginner Level] CatNot Cat Classification Project Part 1 Data Loading

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1. Install your virtual environment for the course.html1 KB12/12/2021 3:34 AM
10. Visualize some images from the dataset.mp420,366 KB12/12/2021 3:34 AM
10. Visualize some images from the dataset.srt4 KB12/12/2021 3:34 AM
11. Running data loading on Google Colab the differences and challenges!.mp456,433 KB12/12/2021 3:34 AM
11. Running data loading on Google Colab the differences and challenges!.srt8 KB12/12/2021 3:34 AM
12. Quiz on data loading.html1 KB12/12/2021 3:34 AM
13. Practice test.html1 KB12/12/2021 3:34 AM
2. Lecture Notbooks (Jupyter Notbook + Google Colab).html1 KB12/12/2021 3:34 AM
2.1 cat-classification.zip597 KB12/12/2021 3:34 AM
2.2 dl_in_practice_env.txt1 KB12/12/2021 3:34 AM
3. Introduction.mp49,114 KB12/12/2021 3:34 AM
3. Introduction.srt2 KB12/12/2021 3:34 AM
4. The cat dataset.mp415,634 KB12/12/2021 3:34 AM
4. The cat dataset.srt3 KB12/12/2021 3:34 AM
5. Importing Libraries.mp437,210 KB12/12/2021 3:34 AM
5. Importing Libraries.srt6 KB12/12/2021 3:34 AM
6. One-Hot Encoding.mp465,826 KB12/12/2021 3:34 AM
6. One-Hot Encoding.srt10 KB12/12/2021 3:34 AM
7. The Load Dataset Function.mp420,991 KB12/12/2021 3:34 AM
7. The Load Dataset Function.srt3 KB12/12/2021 3:34 AM
8. Understand os.walk() method for getting folders and file names.mp4102,237 KB12/12/2021 3:34 AM
8. Understand os.walk() method for getting folders and file names.srt12 KB12/12/2021 3:34 AM
9. Loading the images into a numpy array.mp441,208 KB12/12/2021 3:34 AM
9. Loading the images into a numpy array.srt7 KB12/12/2021 3:34 AM