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In this post, we’ll be covering Dueling Q networks for reinforcement learning in TensorFlow 2. This reinforcement learning architecture ..read more
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In previous tutorials, I’ve explained convolutional neural networks (CNN) and shown how to code them. The convolutional layer has proven ..read more
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In previous posts (here and here), deep Q reinforcement learning was introduced. In these posts, examples were presented where neural ..read more
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In this post, I’m going to cover the very important deep learning concept called transfer learning. Transfer learning is the process ..read more
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For those familiar with convolutional neural networks (if you’re not, check out this post), you will know that, for many architectures, ..read more
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In this relatively short post, I’m going to show you how to deal with metrics and summaries in TensorFlow 2. Metrics, which can be used ..read more
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If you’ve been involved with neural networks and have beeen using them for classification, you almost certainly will have used a cross ..read more
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It’s a great time to be practising deep learning. The main existing deep learning frameworks like TensorFlow, Keras and PyTorch are ..read more
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A recent announcement from the TensorFlow development team has informed the world that some major new changes are coming to TensorFlow, ..read more
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Deep learning can be complicated…and sometimes frustrating. Why is my lousy 10 layer conv-net only achieving 95% accuracy on MNIST!? We ..read more

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