{
  "name": "TensorFlow",
  "isUpcomingChange": false,
  "dashedName": "tensorflow",
  "order": 0,
  "time": "15 hours",
  "superBlock": "machine-learning-with-python",
  "challengeOrder": [
    [
      "5e8f2f13c4cdbe86b5c72d87",
      "Introduction: Machine Learning Fundamentals"
    ],
    [
      "5e8f2f13c4cdbe86b5c72d88",
      "Introduction to TensorFlow"
    ],
    [
      "5e8f2f13c4cdbe86b5c72d89",
      "Core Learning Algorithms"
    ],
    [
      "5e8f2f13c4cdbe86b5c72d8a",
      "Core Learning Algorithms: Working with Data"
    ],
    [
      "5e8f2f13c4cdbe86b5c72d8b",
      "Core Learning Algorithms: Training and Testing Data"
    ],
    [
      "5e8f2f13c4cdbe86b5c72d8c",
      "Core Learning Algorithms: The Training Process"
    ],
    [
      "5e8f2f13c4cdbe86b5c72d8d",
      "Core Learning Algorithms: Classification"
    ],
    [
      "5e8f2f13c4cdbe86b5c72d8e",
      "Core Learning Algorithms: Building the Model"
    ],
    [
      "5e8f2f13c4cdbe86b5c72d8f",
      "Core Learning Algorithms: Clustering"
    ],
    [
      "5e8f2f13c4cdbe86b5c72d90",
      "Core Learning Algorithms: Hidden Markov Models"
    ],
    [
      "5e8f2f13c4cdbe86b5c72d91",
      "Core Learning Algorithms: Using Probabilities to make Predictions"
    ],
    [
      "5e8f2f13c4cdbe86b5c72d92",
      "Neural Networks with TensorFlow"
    ],
    [
      "5e8f2f13c4cdbe86b5c72d93",
      "Neural Networks: Activation Functions"
    ],
    [
      "5e8f2f13c4cdbe86b5c72d94",
      "Neural Networks: Optimizers"
    ],
    [
      "5e8f2f13c4cdbe86b5c72d95",
      "Neural Networks: Creating a Model"
    ],
    [
      "5e8f2f13c4cdbe86b5c72d96",
      "Convolutional Neural Networks"
    ],
    [
      "5e8f2f13c4cdbe86b5c72d97",
      "Convolutional Neural Networks: The Convolutional Layer"
    ],
    [
      "5e8f2f13c4cdbe86b5c72d98",
      "Creating a Convolutional Neural Network"
    ],
    [
      "5e8f2f13c4cdbe86b5c72d99",
      "Convolutional Neural Networks: Evaluating the Model"
    ],
    [
      "5e8f2f13c4cdbe86b5c72d9a",
      "Convolutional Neural Networks: Picking a Pretrained Model"
    ],
    [
      "5e8f2f13c4cdbe86b5c72d9b",
      "Natural Language Processing With RNNs"
    ],
    [
      "5e8f2f13c4cdbe86b5c72d9c",
      "Natural Language Processing With RNNs: Part 2"
    ],
    [
      "5e8f2f13c4cdbe86b5c72d9d",
      "Natural Language Processing With RNNs: Recurring Neural Networks"
    ],
    [
      "5e8f2f13c4cdbe86b5c72d9e",
      "Natural Language Processing With RNNs: Sentiment Analysis"
    ],
    [
      "5e8f2f13c4cdbe86b5c72d9f",
      "Natural Language Processing With RNNs: Making Predictions"
    ],
    [
      "5e8f2f13c4cdbe86b5c72da0",
      "Natural Language Processing With RNNs: Create a Play Generator"
    ],
    [
      "5e8f2f13c4cdbe86b5c72da1",
      "Natural Language Processing With RNNs: Building the Model"
    ],
    [
      "5e8f2f13c4cdbe86b5c72da2",
      "Natural Language Processing With RNNs: Training the Model"
    ],
    [
      "5e8f2f13c4cdbe86b5c72da3",
      "Reinforcement Learning With Q-Learning"
    ],
    [
      "5e8f2f13c4cdbe86b5c72da4",
      "Reinforcement Learning With Q-Learning: Part 2"
    ],
    [
      "5e8f2f13c4cdbe86b5c72da5",
      "Reinforcement Learning With Q-Learning: Example"
    ],
    [
      "5e8f2f13c4cdbe86b5c72da6",
      "Conclusion"
    ]
  ]}