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  2. 371. MNIST Importing the Relevant Packages and Loading the Data | Skyhighes | Data Science

    371. MNIST Importing the Relevant Packages and Loading the Data | Skyhighes | Data Science

    11
  8. 162. How to Use a Function within a Function | Skyhighes | Data Science

    162. How to Use a Function within a Function | Skyhighes | Data Science

    10
  11. 334. Types of File Formats Supporting TensorFlow | Skyhighes | Data Science

    334. Types of File Formats Supporting TensorFlow | Skyhighes | Data Science

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  13. 403. Actual Introduction to TensorFlow | Skyhighes | Data Science

    403. Actual Introduction to TensorFlow | Skyhighes | Data Science

    6
  16. 260. Pros and Cons of K-Means Clustering | Skyhighes | Data Science

    260. Pros and Cons of K-Means Clustering | Skyhighes | Data Science

    7
  17. 56. Discrete Distributions The Bernoulli Distribution | Skyhighes | Data Science

    56. Discrete Distributions The Bernoulli Distribution | Skyhighes | Data Science

    5
  19. 356. State-of-the-Art Method - (Xavier) Glorot Initialization | Skyhighes | Data Science

    356. State-of-the-Art Method - (Xavier) Glorot Initialization | Skyhighes | Data Science

    5
  20. 394. What's Further out there in terms of Machine Learning | Skyhighes | Data Science

    394. What's Further out there in terms of Machine Learning | Skyhighes | Data Science

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  21. 406. Basic NN Example with TF Loss Function and Gradient Descent | Skyhighes | Data Science

    406. Basic NN Example with TF Loss Function and Gradient Descent | Skyhighes | Data Science

    40
  23. 473. Exploring the Problem with a Machine Learning Mindset | Skyhighes | Data Science

    473. Exploring the Problem with a Machine Learning Mindset | Skyhighes | Data Science

    32
  24. 64. Continuous Distributions The Exponential Distribution | Skyhighes | Data Science

    64. Continuous Distributions The Exponential Distribution | Skyhighes | Data Science

    8
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