|
RAR-files |
| packt.hands.on.unsupervised.learning.with.tensorflow.2.0-analytics.rar |
50,000,000 |
451EFBD0 |
| packt.hands.on.unsupervised.learning.with.tensorflow.2.0-analytics.r00 |
50,000,000 |
5E0DDA3E |
| packt.hands.on.unsupervised.learning.with.tensorflow.2.0-analytics.r01 |
50,000,000 |
F7307263 |
| packt.hands.on.unsupervised.learning.with.tensorflow.2.0-analytics.r02 |
50,000,000 |
9197E38C |
| packt.hands.on.unsupervised.learning.with.tensorflow.2.0-analytics.r03 |
50,000,000 |
93832DF9 |
| packt.hands.on.unsupervised.learning.with.tensorflow.2.0-analytics.r04 |
50,000,000 |
5A590E93 |
| packt.hands.on.unsupervised.learning.with.tensorflow.2.0-analytics.r05 |
50,000,000 |
851769BC |
| packt.hands.on.unsupervised.learning.with.tensorflow.2.0-analytics.r06 |
35,437,081 |
8BB3DD09 |
|
| Total size: |
385,437,081 |
|
|
| Archived
files |
|
00001-The Course Overview.mp4
[71a8e73de8322386]
|
9,040,517 |
EA0A89FD |
|
00002-Unsupervised Machine Learning and Its Applications.mp4
[8a46e103c99fa247]
|
9,728,322 |
5F17EC1D |
|
00003-Overview of TensorFlow 2.0.mp4
[14463a360d86ca2c]
|
4,124,935 |
3F93EC6F |
|
00004-Setting Up the Environment.mp4
[5040fe0fa256d395]
|
8,747,663 |
E2283A2F |
|
00005-What Is Clustering.mp4
[c87159b7ac2f05a3]
|
5,996,172 |
479D93DE |
|
00006-K-Means Clustering.mp4
[ca60f89129119269]
|
7,281,785 |
7E0B0641 |
|
00007-K-Means Clustering Implementation Using TensorFlow.mp4
[2fd061847d2c1523]
|
13,722,006 |
F9DC42AF |
|
00008-Hierarchical Clustering.mp4
[b01321ddb64da096]
|
9,465,913 |
8BB155B9 |
|
00009-Hierarchical Clustering Implementation Using Python.mp4
[1e5eb78de264219d]
|
10,743,196 |
DADE8532 |
|
00010-t-SNE.mp4
[6a8f06ac63936cff]
|
6,785,169 |
119FA515 |
|
00011-t-SNE Clustering Implementation Using Python.mp4
[2fd5145277cca67e]
|
14,256,187 |
8DA7DF26 |
|
00012-DBSCAN.mp4
[2a3b4cc34b2c5761]
|
4,612,654 |
B97AB01C |
|
00013-DBSCAN Clustering Implementation Using Python.mp4
[507b2d5b0ad6cbf]
|
15,620,598 |
E0040072 |
|
00014-What Is PCA.mp4
[eac167fbdfbd25f7]
|
8,963,659 |
5318ECC8 |
|
00015-Implementation of PCA on IRIS Dataset Using TensorFlow 2.0.mp4
[f9023df8453cd8c9]
|
14,944,957 |
ACD8B3FC |
|
00016-Anomaly Detection and Its Applications.mp4
[b6e6e3b4dba54251]
|
13,494,136 |
67F5F71B |
|
00017-Implementation of Anomaly Detection Using TensorFlow.mp4
[1ae8b5e26bf56725]
|
31,336,665 |
7952ABF9 |
|
00018-Autoencoders and Their Applications.mp4
[1d45b295becce8d7]
|
15,722,435 |
E89FA7D7 |
|
00019-Implementation of AEs on MNIST Dataset Using TensorFlow 2.0.mp4
[4778079217b486de]
|
22,099,977 |
DD3A55CC |
|
00020-Deep Belief Networks and Their Applications.mp4
[7d98b6688d33353d]
|
21,730,481 |
0DC7CAA2 |
|
00021-Implementation of Deep Belief Nets.mp4
[8ebd97e6e85af635]
|
21,350,681 |
52133F06 |
|
00022-Generative Adversarial Networks and Their Applications.mp4
[63c609c3e5cd8620]
|
9,062,152 |
AB044E70 |
|
00023-Implementation of GANs Using TensorFlow 2.0.mp4
[fc855347041f3051]
|
17,745,454 |
9DE08FD0 |
|
00024-Generator.mp4
[4e74f7f6cb3d3537]
|
26,592,752 |
01BE7F30 |
|
00025-Optimizers.mp4
[e51226136596611b]
|
11,647,198 |
BA41E322 |
|
00026-Self-Organizing Maps and Their Applications.mp4
[4d99b05ff1408a76]
|
14,686,735 |
4CDCD6D4 |
|
00027-Implementation of Self-Organizing Maps on Breast Cancer Dataset.mp4
[afb825f3fd9cd093]
|
35,344,631 |
387E0683 |
|
9781789952520_Code.zip |
587,042 |
856C2820 |
|
| Total size: |
385,434,072 |
|
|
