▮ Execution Methods Execution methods can become confusing to people who have just started machine learning. So for this post, I’d like to share the difference between graph execution and eager execution. ▮ Graph Execution Fig.1 – Graph Execution Graph…
Implementation Here is one way you can Fine-tune Vgg16 while adding a batch normalization layer using Keras. 1. Import from keras.applications.vgg16 import VGG16 from keras.optimizers import SGD from keras.layers import Input, Dense, Flatten, BatchNormalization, Activation from keras.models import Sequential from…
Pre-fetching your data can help your data pre-processing pipeline more smoother. Without pre-fetching, the cpu would wait for the process in the GPU to end, and then start to prepare the next data. You can do this process in parallel…
Load model model_A = keras.models.load_model(“model_A.h5″) Clone Architecture model_A_clone = keras.models.clone_model(model_A) Clone Weights model_A_clone.set_weights(model_A.get_weights()) Delete Last Layer model_B = keras.models.Sequential(model_A_clone.layers[:-1]) Add Final layer => Change to Binary classifier model_B.add(keras.layers.Dense(1, activation=”sigmoid”)) You can prevent copied layers to be affected when training for…