In this post, we'll learn DEEP LEARNING WITH TENSORFLOW 2.0 Machine Learning framework.
TensorFlow is the Machine Learning framework by Google. It is primarily used for Deep Learning related tasks and seamlessly integrates with other Google APIs as well. TensorFlow is clearly one of the most used libraries for Deep Learning in the industry right now and totally worth learning!
By the end of this tutorial, you will have knowledge of the following.
TensorFlow started as an Open-Source Deep Learning library by Google and now is a complete framework for end to end Machine Learning processes. You might be wondering why Google chose this name and what does “Tensor” mean.
TensorFlow is the Machine Learning framework by Google. It is primarily used for Deep Learning related tasks and seamlessly integrates with other Google APIs as well. And there are many things about TENSORFLOW 2.0 that you still do not know.
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Artificial Neural Network | Deep Learning with Tensorflow and Artificial Intelligence | I have talked about Artificial neural networks and its implementation in TensorFlow using google colab. You will learn: What is an Artificial Neural Network? Building your neural network using Tensorflow.
What is the difference between machine learning and artificial intelligence and deep learning? Supervised learning is best for classification and regressions Machine Learning models. You can read more about them in this article.
Artificial Intelligence (AI) will and is currently taking over an important role in our lives — not necessarily through intelligent robots.