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7.1: TensorFlow.js Color Classifier: Crowdsourcing Data
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7.2: TensorFlow.js Color Classifier: Saving Data to Firebase
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7.3: TensorFlow.js Color Classifier: Cleaning Data Part 1
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7.4: TensorFlow.js Color Classifier: Cleaning Data Part 2
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7.5: TensorFlow.js Color Classifier: Cleaning Data Part 3
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7.6: TensorFlow.js Color Classifier: Training Data Tensors (inputs)
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7.7: TensorFlow.js Color Classifier: Training Data Tensors (one hot encoding)
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7.8: TensorFlow.js Color Classifier: Building the Model
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7.9: TensorFlow.js Color Classifier: Softmax and Cross Entropy
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7.10: TensorFlow.js Color Classifier: Training the Model
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7.11: TensorFlow.js Color Classifier: Animating Loss
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7.12: TensorFlow.js Color Classifier: Prediction
Description:
Dive into a comprehensive video series on building a color classifier using TensorFlow.js. Learn to crowdsource and clean data, save information to Firebase, create training data tensors, and implement one-hot encoding. Explore the process of constructing a neural network model, understand concepts like softmax and cross-entropy, and master the techniques for training and animating loss. Conclude by implementing prediction functionality in your color classifier project.

TensorFlow.js Color Classifier - Intelligence and Learning

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