From the course: Building Deep Learning Applications with Keras
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Exploring the TensorFlow and Theano backends
From the course: Building Deep Learning Applications with Keras
Exploring the TensorFlow and Theano backends
- [Instructor] In this video, we are going to explore the powerful trio in AI developments, Keras, TensorFlow, and Theano. Think of Keras as the conductor of an orchestra, where its role is to make the complex task of building neural networks straightforward and approachable. Keras does this by providing a user-friendly interface to TensorFlow, our equivalent of the lead violinist. TensorFlow is known for its high performance in executing complex machine learning tasks, handling data-heavy operations with speed and with precision. While TensorFlow performs the heavy lifting, Keras ensures that you, us, as a developer, can craft these advanced neural networks with just fewer lines of code, making the process as easy as tuning an instrument. Now, let's look at Theano. While we can think of Theano almost like a classical instrument that shaped this whole genre, although Theano is not in the limelight anymore, as the development has shifted towards more contemporary tools, its early…
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