| parent folder | - | - |
| - | 001. Chapter 5. Deep learning for computer vision.mp4 | 11577570 | 2023-09-06 18:50:10 |
| - | 002. Chapter 5. The convolution operation.mp4 | 19902279 | 2023-09-06 18:50:13 |
| - | 003. Chapter 5. The max-pooling operation.mp4 | 16458833 | 2023-09-06 18:50:15 |
| - | 004. Chapter 5. Training a convnet from scratch on a small dataset.mp4 | 30934968 | 2023-09-06 18:50:18 |
| - | 005. Chapter 5. Data preprocessing.mp4 | 32021911 | 2023-09-06 18:50:22 |
| - | 006. Chapter 5. Using a pretrained convnet.mp4 | 45225742 | 2023-09-06 18:50:27 |
| - | 007. Chapter 5. Fine-tuning.mp4 | 20006671 | 2023-09-06 18:50:30 |
| - | 008. Chapter 5. Visualizing what convnets learn.mp4 | 28361553 | 2023-09-06 18:50:33 |
| - | 009. Chapter 5. Visualizing convnet filters.mp4 | 36803886 | 2023-09-06 18:50:38 |
| - | 010. Chapter 6. Deep learning for text and sequences.mp4 | 33510560 | 2023-09-06 18:50:41 |
| - | 011. Chapter 6. Using word embeddings.mp4 | 32746342 | 2023-09-06 18:50:45 |
| - | 012. Chapter 6. Putting it all together from raw text to word embeddings.mp4 | 21330469 | 2023-09-06 18:50:48 |
| - | 013. Chapter 6. Understanding recurrent neural networks.mp4 | 25276283 | 2023-09-06 18:50:51 |
| - | 014. Chapter 6. Understanding the LSTM and GRU layers.mp4 | 30216713 | 2023-09-06 18:50:55 |
| - | 015. Chapter 6. Advanced use of recurrent neural networks.mp4 | 23247102 | 2023-09-06 18:50:58 |
| - | 016. Chapter 6. A common-sense, non-machine-learning baseline.mp4 | 20587310 | 2023-09-06 18:51:01 |
| - | 017. Chapter 6. Using recurrent dropout to fight overfitting.mp4 | 35269054 | 2023-09-06 18:51:05 |
| - | 018. Chapter 6. Going even further.mp4 | 12543225 | 2023-09-06 18:51:07 |
| - | 019. Chapter 6. Sequence processing with convnets.mp4 | 15835691 | 2023-09-06 18:51:09 |
| - | 020. Chapter 6. Combining CNNs and RNNs to process long sequences.mp4 | 17801586 | 2023-09-06 18:51:12 |
| - | 021. Chapter 7. Advanced deep-learning best practices.mp4 | 18932403 | 2023-09-06 18:51:14 |
| - | 022. Chapter 7. Multi-input models.mp4 | 11883719 | 2023-09-06 18:51:16 |
| - | 023. Chapter 7. Directed acyclic graphs of layers.mp4 | 31727093 | 2023-09-06 18:51:20 |
| - | 024. Chapter 7. Layer weight sharing.mp4 | 12273375 | 2023-09-06 18:51:22 |
| - | 025. Chapter 7. Inspecting and monitoring deep-learning models using Keras callba- acks and TensorBoard.mp4 | 19718735 | 2023-09-06 18:51:26 |
| - | 026. Chapter 7. Introduction to TensorBoard the TensorFlow visualization framework.mp4 | 16607174 | 2023-09-06 18:51:28 |
| - | 027. Chapter 7. Getting the most out of your models.mp4 | 19571642 | 2023-09-06 18:51:31 |
| - | 028. Chapter 7. Hyperparameter optimization.mp4 | 20490391 | 2023-09-06 18:51:34 |
| - | 029. Chapter 7. Model ensembling.mp4 | 31316273 | 2023-09-06 18:51:38 |
| - | 030. Chapter 8. Generative deep learning.mp4 | 26476091 | 2023-09-06 18:51:41 |
| - | 031. Chapter 8. A brief history of generative recurrent networks.mp4 | 30136414 | 2023-09-06 18:51:46 |
| - | 032. Chapter 8. Implementing character-level LSTM text generation.mp4 | 20080418 | 2023-09-06 18:51:48 |
| - | 033. Chapter 8. DeepDream.mp4 | 30871163 | 2023-09-06 18:51:52 |
| - | 034. Chapter 8. Neural style transfer.mp4 | 19134414 | 2023-09-06 18:51:54 |
| - | 035. Chapter 8. Neural style transfer in Keras.mp4 | 21302708 | 2023-09-06 18:51:57 |
| - | 036. Chapter 8. Generating images with variational autoencoders.mp4 | 16102138 | 2023-09-06 18:52:00 |
| - | 038. Chapter 8. Introduction to generative adversarial networks.mp4 | 19351182 | 2023-09-06 18:52:03 |
| - | 039. Chapter 8. A bag of tricks.mp4 | 33085621 | 2023-09-06 18:52:07 |
| - | 040. Chapter 9. Conclusions.mp4 | 20350515 | 2023-09-06 18:52:09 |
| - | 041. Chapter 9. How to think about deep learning.mp4 | 37540657 | 2023-09-06 18:52:14 |
| - | 042. Chapter 9. Key network architectures.mp4 | 26568327 | 2023-09-06 18:52:17 |
| - | 043. Chapter 9. The space of possibilities.mp4 | 11753919 | 2023-09-06 18:52:19 |
| - | 044. Chapter 9. The limitations of deep learning.mp4 | 19646839 | 2023-09-06 18:52:21 |
| - | 045. Chapter 9. Local generalization vs. extreme generalization.mp4 | 14327299 | 2023-09-06 18:52:24 |
| - | 046. Chapter 9. The future of deep learning.mp4 | 39691770 | 2023-09-06 18:52:29 |
| - | 047. Chapter 9. Automated machine learning.mp4 | 34014474 | 2023-09-06 18:52:33 |
| - | 048. Chapter 9. Staying up to date in a fast-moving field.mp4 | 19119154 | 2023-09-06 18:52:35 |