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freeCodeCamp/curriculum/challenges/_meta/tensorflow/meta.json
Naomi Carrigan ab640abee1 chore: detuplication (#50955)
Co-authored-by: Oliver Eyton-Williams <ojeytonwilliams@gmail.com>
2023-07-13 12:46:00 +02:00

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