[FreeCoursesOnline.Me] [Packtpub.Com] Building Machine Learning Systems with TensorFlow - [FCO]

Torrent Hash:
5BBDEE8F38374CD9B9B92E4DDA91D66D5889AAE6
Number of Files:
48
Content Size:
592.03MB
Convert On:
2019-07-14
Magnet Link:
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File Name
Size
Chapter 1 - Exploring and Transforming data/01. The Course Overview.mp4
18.55MB
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Chapter 1 - Exploring and Transforming data/02. TensorFlow's Main Data Structure Tensors.mp4
27.13MB
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Chapter 1 - Exploring and Transforming data/03. Handling the Computing Workflow TensorFlow's Data Flow Graph.mp4
16.2MB
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Chapter 1 - Exploring and Transforming data/04. Basic Tensor Methods.mp4
36.91MB
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Chapter 1 - Exploring and Transforming data/05. How TensorBoard Works.mp4
24.56MB
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Chapter 1 - Exploring and Transforming data/06. Reading Information from Disk.mp4
21.8MB
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Chapter 2 - Clustering/07. Learning from Data Unsupervised Learing.mp4
4.63MB
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Chapter 2 - Clustering/08. Mechanics of k-Means.mp4
5.81MB
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Chapter 2 - Clustering/09. k-Nearest Neighbor.mp4
18.88MB
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Chapter 2 - Clustering/10. Project 1 k-Means Clustering on Synthetic Datasetsets.mp4
19.49MB
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Chapter 2 - Clustering/11. Project 2 Nearest Neighbor on Synthetic Datasets.mp4
9.92MB
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Chapter 3 - Linear Regression/12. Univariate Linear Modelling Function.mp4
8.77MB
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Chapter 3 - Linear Regression/13. Optimizer Methods in TensorFlow The Train Module.mp4
5.53MB
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Chapter 3 - Linear Regression/14. Univariate Linear Regression.mp4
25.25MB
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Chapter 3 - Linear Regression/15. Multivariate Linear Regression.mp4
21.52MB
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Chapter 4 - Logistic Regression/16. Logistic Function Predecessor The Logit Functions.mp4
6.9MB
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Chapter 4 - Logistic Regression/17. The Logistic Function.mp4
9.58MB
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Chapter 4 - Logistic Regression/18. Univariate Logistic Regression.mp4
31.62MB
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Chapter 4 - Logistic Regression/19. Univariate Logistic Regression with keras.mp4
12.47MB
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Chapter 5 - Simple FeedForward Neural Networks/20. Preliminary Concepts.mp4
13.36MB
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Chapter 5 - Simple FeedForward Neural Networks/21. First Project Non-Linear Synthetic Function Regression.mp4
13.63MB
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Chapter 5 - Simple FeedForward Neural Networks/22. Second Project Modeling Cars Fuel Efficiency with Non-Linear.mp4
15.6MB
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Chapter 5 - Simple FeedForward Neural Networks/23. Third Project Learning to Classify Wines Multiclass Classification.mp4
12.61MB
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Chapter 6 - Convolutional Neural Networks/24. Origin of Convolutional Neural Networks.mp4
5.4MB
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Chapter 6 - Convolutional Neural Networks/25. Applying Convolution in TensorFlow.mp4
17.9MB
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Chapter 6 - Convolutional Neural Networks/26. Subsampling Operation Pooling.mp4
10.85MB
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Chapter 6 - Convolutional Neural Networks/27. Improving Efficiency Dropout Operation.mp4
6.17MB
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Chapter 6 - Convolutional Neural Networks/28. Convolutional Type Layer Building Methods.mp4
2.9MB
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Chapter 6 - Convolutional Neural Networks/29. MNIST Digit Classification.mp4
17.87MB
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Chapter 6 - Convolutional Neural Networks/30. Image Classification with the CIFAR10 Dataset.mp4
12.92MB
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Chapter 7 - Recurrent Neural Networks and LSTM/31. Recurrent Neural Networks.mp4
6.48MB
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Chapter 7 - Recurrent Neural Networks and LSTM/32. A Fundamental Component Gate Operation and Its Steps.mp4
7.07MB
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Chapter 7 - Recurrent Neural Networks and LSTM/33. TensorFlow LSTM Useful Classes and Methods.mp4
3.05MB
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Chapter 7 - Recurrent Neural Networks and LSTM/34. Univariate Time Series Prediction with Energy Consumption Data.mp4
13.81MB
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Chapter 7 - Recurrent Neural Networks and LSTM/35. Writing Music a la Bach.mp4
44.93MB
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Chapter 8 - Deep Neural Networks/36. Deep Neural Network Definition and Architectures Through Time.mp4
4.87MB
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Chapter 8 - Deep Neural Networks/37. Alexnet.mp4
9.77MB
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Chapter 8 - Deep Neural Networks/38. Inception V3.mp4
1.85MB
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Chapter 8 - Deep Neural Networks/39. Residual Networks (ResNet).mp4
3.26MB
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Chapter 8 - Deep Neural Networks/40. Painting with Style VGG Style Transfer.mp4
15.43MB
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Chapter 9 - Library Installation And Additional Tips/41. Windows Installation.mp4
12.74MB
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Chapter 9 - Library Installation And Additional Tips/42. mac OS Installation.mp4
13.66MB
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165.68KB
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108.3KB
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