This article is the result of a conversation I had with my AI assistant. We agreed that Intel CPUs are unlikely to be able to train neural networks because their parallel processing capabilities are far behind those of GPUs. If they are, they can only train very small networks. While they don’t train networks, the … Đọc tiếp Can the AI ​​in Intel CPUs train neural networks?

Unlike normal data mining processes, embedded operation is in the interference area between data mining and machine learning. It has just exploited knowledge to put it into machine learning, and received training in data exploitation from the network. The mining is like a pipe where the flow of knowledge is progressing over time through training. … Đọc tiếp Natural Language Processing: Word embedding

Along with mini-batch, convolution can be used for data mining before training. Both techniques are intended to reduce the size of training data. The mini-batch reduces the sample set size vertically, ie taking a small number of samples. The convolution reduces the sample set size by width, ie, narrowing the number of feature columns, reducing … Đọc tiếp Neural network: Data mining with Convolution