🔥PyTorch and TensorFlow are the two most popular deep learning frameworks.
📚Keras is a wrapper around TensorFlow, CNTK, and Theano, providing convenience and ease of use.
💡Previously, using TensorFlow or CNTK directly was challenging, and Keras was created to provide a nice wrapper around these libraries.
📦Keras is now a part of TensorFlow library itself, making it an integral part of their ecosystem.
🔄You can use Keras directly from TensorFlow, eliminating the need for a separate installation.
What are PyTorch and TensorFlow?
—PyTorch and TensorFlow are popular deep learning frameworks used for developing and training neural networks.
What is Keras?
—Keras is a high-level API that simplifies the process of building deep learning models using frameworks like TensorFlow and CNTK.
Why was Keras created?
—Keras was created to provide a convenient and user-friendly wrapper around deep learning libraries like TensorFlow, CNTK, and Theano.
How do I install Keras?
—You can install Keras by running the command 'pip install keras' in your Python environment.
Can I use Keras without installing it separately?
—Yes, now you can use Keras directly from TensorFlow, as it is integrated into the TensorFlow library.
00:00PyTorch and TensorFlow are the two most popular deep learning frameworks.
00:12Keras is a wrapper around TensorFlow, CNTK, and Theano, providing convenience and ease of use.
00:36Previously, using TensorFlow or CNTK directly was challenging, and Keras was created to provide a nice wrapper around these libraries.
01:26Keras is now a part of TensorFlow library itself, making it an integral part of their ecosystem.
01:47You can use Keras directly from TensorFlow, eliminating the need for a separate installation.
