{ "name": "TensorFlow", "isUpcomingChange": false, "dashedName": "tensorflow", "helpCategory": "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" } ], "blockLayout": "legacy-challenge-list" }