TensorFlow Developer Certificate
The TensorFlow Developer Certificate validates the practical skills to build models with TensorFlow 2 and Keras: constructing and training dense and convolutional networks, image classification with data augmentation and transfer learning, natural language processing with embeddings and RNNs, and time-series and sequence modeling.
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Start TF Developer examSkills measured
TensorFlow Developer Fundamentals
25%Tensors and operations, the Keras Sequential and functional APIs, compiling and fitting models, callbacks, and avoiding overfitting.
Building and Training Neural Networks
25%Dense networks for regression and classification, loss functions and optimizers, learning-rate tuning, and model evaluation.
Image Classification with CNNs
25%Convolution and pooling layers, ImageDataGenerator and augmentation, transfer learning, and multi-class image models.
Natural Language Processing and Sequences
25%Tokenization and embeddings, RNNs, LSTMs and GRUs, text classification, and time-series forecasting with windowed datasets.