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FreeCourseLab com Udemy The Data Science Course 2019 Complete Data Science Bootcamp

50 Deep Learning Classifying on the MNIST Dataset MNIST Preprocess the Data Create Validation Set and Scale It vtt

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[FreeCourseLab.com] Udemy - The Data Science Course 2019 Complete Data Science Bootcamp

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/50. Deep Learning - Classifying on the MNIST Dataset/4. MNIST Preprocess the Data - Create a Validation Set and Scale It.vtt

5.7 KB

/50. Deep Learning - Classifying on the MNIST Dataset/4. MNIST Preprocess the Data - Create a Validation Set and Scale It.mp4

33.4 MB

/50. Deep Learning - Classifying on the MNIST Dataset/6. MNIST Preprocess the Data - Shuffle and Batch.vtt

8.3 KB

/50. Deep Learning - Classifying on the MNIST Dataset/5. MNIST Preprocess the Data - Scale the Test Data - Exercise.html

0.1 KB

/50. Deep Learning - Classifying on the MNIST Dataset/6. MNIST Preprocess the Data - Shuffle and Batch.mp4

48.1 MB

/50. Deep Learning - Classifying on the MNIST Dataset/7. MNIST Preprocess the Data - Shuffle and Batch - Exercise.html

0.1 KB

/50. Deep Learning - Classifying on the MNIST Dataset/5.1 MNIST Preprocess the Data.html

0.1 KB

/50. Deep Learning - Classifying on the MNIST Dataset/7.1 MNIST Preprocess the Data.html

0.1 KB

/50. Deep Learning - Classifying on the MNIST Dataset/3. MNIST Importing the Relevant Packages and Loading the Data.vtt

2.7 KB

/50. Deep Learning - Classifying on the MNIST Dataset/9. MNIST Select the Loss and the Optimizer.vtt

2.7 KB

/50. Deep Learning - Classifying on the MNIST Dataset/3. MNIST Importing the Relevant Packages and Loading the Data.mp4

18.6 MB

/50. Deep Learning - Classifying on the MNIST Dataset/2. MNIST How to Tackle the MNIST.vtt

3.2 KB

/50. Deep Learning - Classifying on the MNIST Dataset/3.1 MNIST Importing the Relevant Packages.html

0.1 KB

/50. Deep Learning - Classifying on the MNIST Dataset/9. MNIST Select the Loss and the Optimizer.mp4

16.0 MB

/50. Deep Learning - Classifying on the MNIST Dataset/9.1 MNIST Select the Loss and the Optimizer.html

0.1 KB

 

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