PDC4S:\IT\DATA SCIENCE AND MACHINE LEARNING\Deep Learning in Practice I Basics and Dataset Design\3. [Beginner Level] CatNot Cat Classification Project Part 2 Perform the Training

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9. Execute the training on GPU with Google Colab.srt3 KB12/12/2021 3:34 AM
9. Execute the training on GPU with Google Colab.mp420,262 KB12/12/2021 3:34 AM
8. Train on Colab Load Data on Google Colab.srt4 KB12/12/2021 3:34 AM
8. Train on Colab Load Data on Google Colab.mp426,379 KB12/12/2021 3:34 AM
7. Execute the training on a CPU slow performance!.srt2 KB12/12/2021 3:34 AM
7. Execute the training on a CPU slow performance!.mp46,887 KB12/12/2021 3:34 AM
6. Fitting the model to make the training.srt3 KB12/12/2021 3:34 AM
6. Fitting the model to make the training.mp412,060 KB12/12/2021 3:34 AM
5. Compile the model set the loss, the optimizer, and metric to monitor.srt3 KB12/12/2021 3:34 AM
5. Compile the model set the loss, the optimizer, and metric to monitor.mp413,294 KB12/12/2021 3:34 AM
4. Develop a Simple Convolutional Neural Network Model.srt6 KB12/12/2021 3:34 AM
4. Develop a Simple Convolutional Neural Network Model.mp440,463 KB12/12/2021 3:34 AM
3. Short refresher on convolution concepts.srt17 KB12/12/2021 3:34 AM
3. Short refresher on convolution concepts.mp484,972 KB12/12/2021 3:34 AM
2. Reminder about data loading.srt6 KB12/12/2021 3:34 AM
2. Reminder about data loading.mp445,959 KB12/12/2021 3:34 AM
16. Questions and Answers with the Students.srt4 KB12/12/2021 3:34 AM
16. Questions and Answers with the Students.mp420,592 KB12/12/2021 3:34 AM
15. Summary and Discussion of the Lecture.srt4 KB12/12/2021 3:34 AM
15. Summary and Discussion of the Lecture.mp422,892 KB12/12/2021 3:34 AM
14. Tuning the SGD optimizer.srt3 KB12/12/2021 3:34 AM
14. Tuning the SGD optimizer.mp418,632 KB12/12/2021 3:34 AM
13. Train a fully-connected network.srt5 KB12/12/2021 3:34 AM
13. Train a fully-connected network.mp437,851 KB12/12/2021 3:34 AM
12. After training 02- plot the loss and accuracy graphs & understand the history!.srt5 KB12/12/2021 3:34 AM
12. After training 02- plot the loss and accuracy graphs & understand the history!.mp424,630 KB12/12/2021 3:34 AM
11. After training 01- save the model!.srt2 KB12/12/2021 3:34 AM
11. After training 01- save the model!.mp47,394 KB12/12/2021 3:34 AM
10. Dealing with overfitting.srt3 KB12/12/2021 3:34 AM
10. Dealing with overfitting.mp416,792 KB12/12/2021 3:34 AM
1. Overview.html1 KB12/12/2021 3:34 AM