This course aims to teach learners how to build a color classifier using TensorFlow.js. By the end of the course, students will be able to crowdsource, save, clean, and train data for the color classifier. They will also learn about data tensors, one hot encoding, building the model, softmax, cross entropy, training the model, and making predictions using TensorFlow.js. The teaching method involves hands-on coding and practical exercises. This course is intended for individuals interested in machine learning, TensorFlow.js, and building image classifiers.
Overview
Syllabus
7.1: TensorFlow.js Color Classifier: Crowdsourcing Data.
7.2: TensorFlow.js Color Classifier: Saving Data to Firebase.
7.3: TensorFlow.js Color Classifier: Cleaning Data Part 1.
7.4: TensorFlow.js Color Classifier: Cleaning Data Part 2.
7.5: TensorFlow.js Color Classifier: Cleaning Data Part 3.
7.6: TensorFlow.js Color Classifier: Training Data Tensors (inputs).
7.7: TensorFlow.js Color Classifier: Training Data Tensors (one hot encoding).
7.8: TensorFlow.js Color Classifier: Building the Model.
7.9: TensorFlow.js Color Classifier: Softmax and Cross Entropy.
7.10: TensorFlow.js Color Classifier: Training the Model.
7.11: TensorFlow.js Color Classifier: Animating Loss.
7.12: TensorFlow.js Color Classifier: Prediction.
Taught by
The Coding Train
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