Hi,

Here is the maven dependency for TensorFlow 2.3.0:

<dependency>
  <groupId>org.tensorflow</groupId>
  <artifactId>tensorflow</artifactId>
  <version>2.3.0</version>
</dependency>

You can include this in your project. This will download TensorFlow 2.3.0 dependency for Java.

Thanks

Hi,

If your system has GPU support and you want to use GPU for your machine learn program then add the following TensorFlow dependencies in pom.xml file of your project:

<dependency>
  <groupId>org.tensorflow</groupId>
  <artifactId>libtensorflow</artifactId>
  <version>2.3.0</version>
</dependency>
<dependency>
  <groupId>org.tensorflow</groupId>
  <artifactId>libtensorflow_jni_gpu</artifactId>
  <version>2.3.0</version>
</dependency>

Thanks

Hi,

Now we will talk about the minimum dependency requirement of Python for running TensorFlow 2.3.0.

TensorFlow 2.3.0 is released with many new features and improvements. TensorFlow 2.3.0 has minimum dependency requirement of Python.

I tried to install TensorFlow 2.3.0 on Python 3.6 but it failed. The Minimum Python requirement is Python 3.7. TensorFlow 2.3.0 does not support Python 2.7.

Here are steps of install TensorFlow 2.3.0 on Anaconda Python:

Step 1: Create Python 3.7 virtual environment

conda create --name tf2.3.1 python=3.7

Step 2: Activate the environment

conda activate tf2.3.1

Step3: Install TensorFlow 2.3.0

pip install tensorflow==2.3.0

Step 4: Check TensorFlow version

Now open python terminal and then run following code to check TensorFlow version:

import tensorflow as tf
print(tf.__version__)

It should print 2.3.0 on the console.

Check more details at Install TensorFlow 2.3.0 on Google Colab.

Thanks