f69dc311a936 learning/Programming/Deep Learning with Python video edition/PART 2 DEEP LEARNING IN PRACTICE

c	File Name	Size	dur	q	vq	aq	Vc	Ac	Fmt	Res	fps	T	Date
-	001. Chapter 5. Deep learning for computer vision.mp4	11577570	246.01542	376	241	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:50:10
-	002. Chapter 5. The convolution operation.mp4	19902279	516.574331	308	172	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:50:13
-	003. Chapter 5. The max-pooling operation.mp4	16458833	270.744671	486	351	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:50:15
-	004. Chapter 5. Training a convnet from scratch on a small dataset.mp4	30934968	486.38839	508	373	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:50:18
-	005. Chapter 5. Data preprocessing.mp4	32021911	534.337596	479	344	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:50:22
-	006. Chapter 5. Using a pretrained convnet.mp4	45225742	776.846803	465	330	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:50:27
-	007. Chapter 5. Fine-tuning.mp4	20006671	394.43737	405	270	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:50:30
-	008. Chapter 5. Visualizing what convnets learn.mp4	28361553	467.208707	485	350	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:50:33
-	009. Chapter 5. Visualizing convnet filters.mp4	36803886	587.557732	501	365	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:50:38
-	010. Chapter 6. Deep learning for text and sequences.mp4	33510560	547.874853	489	354	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:50:41
-	011. Chapter 6. Using word embeddings.mp4	32746342	723.139048	362	227	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:50:45
-	012. Chapter 6. Putting it all together from raw text to word embeddings.mp4	21330469	365.412426	466	331	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:50:48
-	013. Chapter 6. Understanding recurrent neural networks.mp4	25276283	468.648345	431	296	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:50:51
-	014. Chapter 6. Understanding the LSTM and GRU layers.mp4	30216713	562.619501	429	294	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:50:55
-	015. Chapter 6. Advanced use of recurrent neural networks.mp4	23247102	461.125079	403	268	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:50:58
-	016. Chapter 6. A common-sense, non-machine-learning baseline.mp4	20587310	410.319819	401	266	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:51:01
-	017. Chapter 6. Using recurrent dropout to fight overfitting.mp4	35269054	641.822766	439	304	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:51:05
-	018. Chapter 6. Going even further.mp4	12543225	238.817234	420	284	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:51:07
-	019. Chapter 6. Sequence processing with convnets.mp4	15835691	321.224853	394	259	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:51:09
-	020. Chapter 6. Combining CNNs and RNNs to process long sequences.mp4	17801586	398.918821	356	221	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:51:12
-	021. Chapter 7. Advanced deep-learning best practices.mp4	18932403	465.90839	325	189	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:51:14
-	022. Chapter 7. Multi-input models.mp4	11883719	253.283265	375	240	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:51:16
-	023. Chapter 7. Directed acyclic graphs of layers.mp4	31727093	588.486553	431	296	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:51:20
-	024. Chapter 7. Layer weight sharing.mp4	12273375	271.32517	361	226	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:51:22
-	025. Chapter 7. Inspecting and monitoring deep-learning models using Keras callba- acks and TensorBoard.mp4	19718735	357.773061	440	305	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:51:26
-	026. Chapter 7. Introduction to TensorBoard the TensorFlow visualization framework.mp4	16607174	389.282562	341	206	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:51:28
-	027. Chapter 7. Getting the most out of your models.mp4	19571642	458.872744	341	205	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:51:31
-	028. Chapter 7. Hyperparameter optimization.mp4	20490391	362.022313	452	317	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:51:34
-	029. Chapter 7. Model ensembling.mp4	31316273	515.274014	486	350	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:51:38
-	030. Chapter 8. Generative deep learning.mp4	26476091	412.990113	512	377	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:51:41
-	031. Chapter 8. A brief history of generative recurrent networks.mp4	30136414	513.555737	469	334	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:51:46
-	032. Chapter 8. Implementing character-level LSTM text generation.mp4	20080418	354.777687	452	317	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:51:48
-	033. Chapter 8. DeepDream.mp4	30871163	456.736531	540	405	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:51:52
-	034. Chapter 8. Neural style transfer.mp4	19134414	400.77644	381	246	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:51:54
-	035. Chapter 8. Neural style transfer in Keras.mp4	21302708	424.158912	401	266	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:51:57
-	036. Chapter 8. Generating images with variational autoencoders.mp4	16102138	238.376054	540	406	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:52:00
-	038. Chapter 8. Introduction to generative adversarial networks.mp4	19351182	359.050159	431	295	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:52:03
-	039. Chapter 8. A bag of tricks.mp4	33085621	497.812608	531	396	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:52:07
-	040. Chapter 9. Conclusions.mp4	20350515	368.570363	441	306	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:52:09
-	041. Chapter 9. How to think about deep learning.mp4	37540657	577.991111	519	384	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:52:14
-	042. Chapter 9. Key network architectures.mp4	26568327	522.170363	407	271	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:52:17
-	043. Chapter 9. The space of possibilities.mp4	11753919	260.736871	360	225	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:52:19
-	044. Chapter 9. The limitations of deep learning.mp4	19646839	344.491247	456	321	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:52:21
-	045. Chapter 9. Local generalization vs. extreme generalization.mp4	14327299	296.611701	386	251	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:52:24
-	046. Chapter 9. The future of deep learning.mp4	39691770	575.181519	552	416	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:52:29
-	047. Chapter 9. Automated machine learning.mp4	34014474	551.682902	493	357	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:52:33
-	048. Chapter 9. Staying up to date in a fast-moving field.mp4	19119154	333.786848	458	323	125	h264	aac	mov	1280x720	30	mp4	2023-09-06 18:52:35

🌲 / learning Programming Deep Learning with Python video edition PART 2 DEEP LEARNING IN PRACTICE

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