innat

Let's consider a folowing 4D matrix.

import numpy as np
W = np.random.randn(2,2,3,100)

print(W.shape)

output:

innat

Step by step tuts to setup apache spark ( pyspark ) on linux and setup environment for deep learning with Apache Spark using Deep-Learning-Pipelines.

Step 1 : Install Python 3 and Jupyter Notebook

Run following command. Someone may need to install pip first or any missing packages may need to download.

sudo apt install python3-pip sudo pip3 install jupyter

innat

import numpy as np
import tensorflow as tf
from tensorflow import keras 
from tensorflow.keras import Model, Input
from tensorflow.keras.layers import Conv2DTranspose
from tensorflow.keras.layers import UpSampling2D
from tensorflow.keras.layers import Conv2D
from tensorflow.keras.layers import BatchNormalization
from tensorflow.keras.layers import Activation
from tensorflow.keras.layers import Concatenate