From the course: Building Recommender Systems with Machine Learning and AI
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Introduction to TensorFlow - Python Tutorial
From the course: Building Recommender Systems with Machine Learning and AI
Introduction to TensorFlow
- [Instructor] If you've done any previous research in deep learning, you've probably heard of the TensorFlow library. It's a very popular framework developed by the folks at Google. And they've been kind enough to make it open-sourced and freely available to the world. So let's talk about what TensorFlow is all about and how it can help you construct artificial neural networks. The thing that kind of took me by surprise when I first encountered TensorFlow was that it wasn't really purpose-built for deep learning at first, or even for neural networks in general. It's a much more general purpose tool that Google developed that just happens to be useful for developing deep learning and neural networks. More generally, it's an architecture for executing a graph of numerical operations. It's not just about neural networks. You can have any sequence of operations and define a graph of how those operations fit together. What…
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Contents
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Deep learning introduction1m 30s
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Deep learning prerequisites8m 13s
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History of artificial neural networks10m 51s
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Playing with TensorFlow12m 2s
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Training neural networks5m 47s
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Tuning neural networks3m 52s
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Introduction to TensorFlow11m 29s
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Handwriting recognition with TensorFlow, part 113m 18s
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Handwriting recognition with TensorFlow, part 212m 3s
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Introduction to Keras2m 48s
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Handwriting recognition with Keras9m 52s
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Classifier patterns with Keras3m 58s
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Predict political parties of politicians with Keras9m 55s
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Intro to convolutional neural networks (CNNs)8m 59s
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CNN architectures2m 54s
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Handwriting recognition with CNNs8m 38s
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Intro to recurrent neural networks (RNNs)7m 38s
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Training recurrent neural networks3m 21s
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Sentiment analysis of movie reviews using RNNs and Keras11m 1s
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