

In [1]:

    
import tensorflow as tf
import wandb

# Set Hyper-parameters
wandb.init()
config = wandb.config
config.batch_size = 128
config.epochs = 10
config.learn_rate = 0.001
config.dropout = 0.3
config.dense_layer_nodes = 128

# Load data
class_names = ['airplane', 'automobile', 'bird', 'cat', 'deer',
               'dog', 'frog', 'horse', 'ship', 'truck']
num_classes = len(class_names)

(X_train, y_train), (X_test, y_test) = tf.keras.datasets.cifar10.load_data()
X_train = X_train.astype('float32') / 255.
X_test = X_test.astype('float32') / 255.

# Convert class vectors to binary class matrices.
y_train = tf.keras.utils.to_categorical(y_train, num_classes)
y_test = tf.keras.utils.to_categorical(y_test, num_classes)

# Define model
model = tf.keras.models.Sequential()
model.add(tf.keras.layers.Conv2D(32, (3, 3), padding='same',
                                 input_shape=X_train.shape[1:], activation='relu'))
model.add(tf.keras.layers.MaxPooling2D(pool_size=(2, 2)))
model.add(tf.keras.layers.Dropout(config.dropout))

model.add(tf.keras.layers.Flatten())
model.add(tf.keras.layers.Dense(config.dense_layer_nodes, activation='relu'))
model.add(tf.keras.layers.Dropout(config.dropout))
model.add(tf.keras.layers.Dense(num_classes, activation='softmax'))
model.compile(loss='categorical_crossentropy',
              optimizer=tf.keras.optimizers.Adam(config.learn_rate),
              metrics=['accuracy'])
# log the number of total parameters
config.total_params = model.count_params()
print("Total params: ", config.total_params)

model.fit(X_train, y_train, epochs=10, batch_size=128, validation_data=(X_test, y_test),
          callbacks=[wandb.keras.WandbCallback(data_type="image", labels=class_names, save_model=False)])









    



---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
<ipython-input-1-4f49bf5c86a5> in <module>()
      1 import tensorflow as tf
----> 2 import wandb
      3 
      4 # Set Hyper-parameters
      5 wandb.init()

ModuleNotFoundError: No module named 'wandb'

---------------------------------------------------------------------------
NOTE: If your import is failing due to a missing package, you can
manually install dependencies using either !pip or !apt.

To view examples of installing some common dependencies, click the
"Open Examples" button below.
---------------------------------------------------------------------------