Train a simple deep CNN on the CIFAR10 small images dataset. Train a simple deep CNN on the CIFAR10 small images dataset. It gets to 75% validation accuracy in 25 epochs, and 7...
Trains two recurrent neural networks based upon a story and a question. Notes Trains two recurrent neural networks based upon a story and a question. The resulting merged vect...
Trains a ResNet on the CIFAR10 dataset. Trains a ResNet on the CIFAR10 dataset. ResNet v1:Deep Residual Learning for Image Recognition ResNet v2:Identity Mappings in Deep Res...
3-3 High-level API: Demonstration 1. Linear Regression Model 2. DNN Binary Classification Model 3-3 High-level API: Demonstration The examples below use high-level APIs in Te...
4-5 AutoGraph and tf.Module 1. Introduction to Autograph and tf.Module 2. Packaging Autograph Using tf.Module 3. tf.Module and tf.keras.Model ,tf.keras.layers.Layer 4-5 ...