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.
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
