Python

Search

simple keras model with one layer

import tensorflow as tf

l0 = tf.keras.layers.Dense(units=1, input_shape=[1]) 
model = tf.keras.Sequential([l0])
model.compile(loss='mean_squared_error', optimizer=tf.keras.optimizers.Adam(0.1))
history = model.fit(celsius_q, fahrenheit_a, epochs=500, verbose=False)

Comment

PREVIOUS	NEXT

Code Example
Python :: Python Program to Find HCF or GCD
Python :: element not interactable headless chrome
Python :: cv2 and PIL BRG to RGB
Python :: autokeras import colab
Python :: seaborn boxplot (both categorical and numeric data)
Python :: how to get a list of files in a folder in python with pathlib
Python :: quote_from_bytes() expected bytes
Python :: query set
Python :: python not showing in control panel but showing not installed
Python :: Python Difference between two timedelta objects
Python :: how to change the main diagonal in pandas
Python :: pandas append new column
Python :: python string name out of mail
Python :: install python 3
Python :: get value of bit in integer python
Python :: selenium screenshot python user agent
Python :: how to store .png file in variable python
Python :: python string lower method
Python :: WSGIPassAuthorization on
Python :: python get focused window
Python :: format binary string python
Python :: how to decode recv data in python
Python :: stores number in set using input in python
Python :: webdriver.chrome() python not working
Python :: sns.savefig
Python :: how to skip number in while loop python
Python :: pytest snapshot update
Python :: remove days when subtracting time python
Python :: Openpyxl automatic width
Python :: check if value is in list python

Search

PYTHON

simple keras model with one layer

ADD CONTENT