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Download /365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00008-2.6. Linear model_ multiple inputs and multiple outputs.mp4

365datascience v2

Module 03 02 Deep Learning with TensorFlow 00008 Linear model multiple inputs and multiple outputs mp4

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/Module-03/02-Deep_Learning_with_TensorFlow/00008-2.6. Linear model_ multiple inputs and multiple outputs.mp4

44.3 MB

/Module-03/02-Deep_Learning_with_TensorFlow/00007-2.5. The linear model_multiple inputs.mp4

24.8 MB

/Module-03/02-Deep_Learning_with_TensorFlow/00003-2.1. Introduction to neural networks.mp4

44.6 MB

/Module-03/02-Deep_Learning_with_TensorFlow/00046-9.2. Types of simple initializations.mp4

12.9 MB

/Module-03/02-Deep_Learning_with_TensorFlow/00033-6.3. Really understand deep nets.mp4

61.0 MB

/Module-03/02-Deep_Learning_with_TensorFlow/00068-12.9. Commenting on the results.mp4

55.3 MB

/Module-03/02-Deep_Learning_with_TensorFlow/00009-2.7. Graphical representation.mp4

23.0 MB

/Module-03/02-Deep_Learning_with_TensorFlow/00010-2.8. The objective function.mp4

18.6 MB

/Module-03/02-Deep_Learning_with_TensorFlow/00013-2.11. One-parameter gradient descent.mp4

59.1 MB

/Module-03/02-Deep_Learning_with_TensorFlow/00014-2.12. N-parameter gradient descent.mp4

52.5 MB

/Module-03/02-Deep_Learning_with_TensorFlow/00022-4.2. Generating the data (optional).mp4

24.9 MB

/Module-03/02-Deep_Learning_with_TensorFlow/00029-5.5. Laying down the optimizers.mp4

22.5 MB

/Module-03/02-Deep_Learning_with_TensorFlow/00039-8.1. Underfitting and overfitting.mp4

35.7 MB

/Module-03/02-Deep_Learning_with_TensorFlow/00044-8.6. Early stopping - motivation and types.mp4

29.7 MB

/Module-03/02-Deep_Learning_with_TensorFlow/00051-10.4. Learning rate schedules.mp4

38.9 MB

 

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