TensorFlow and deep learning. TensorFlow is an open-source framework developed by Google for building and training machine learning models, including deep learning models.

Here’s a brief overview of TensorFlow and deep learning:

1. TensorFlow: It’s a powerful tool that enables developers to create models with many layers of computation. It is particularly popular for training deep neural networks, which are at the core of deep learning.
2. Deep Learning: Deep learning is a subset of machine learning that uses neural networks with three or more layers. These deep networks attempt to simulate the human brain in order to “learn” from large amounts of data. While a neural network with a single layer can still make approximate predictions, deeper networks can help to optimize accuracy.
3. Applications: Deep learning has many applications including image and speech recognition, medical image analysis, financial forecasting, and more.
4. Getting Started with TensorFlow: If you want to start working on deep learning, TensorFlow provides various pre-built functions and models to help you build deep neural networks. You can learn more from the official TensorFlow tutorials.