《Efficient Deep Learning Book》[EDL] Chapter 4 - Efficient Architectures
format with columns: class-id, title and description. The class id is 1-indexed, and the other two fields, title and description, are self-explanatory. Let’s take a look at a few random entries from the sequence data, the attention mechanism is widely adopted in NLP, speech and image processing, and other fields of deep learning. It is used as a backbone in many state of the art text and visual models like BERT0 码力 | 53 页 | 3.92 MB | 1 年前3keras tutorial
inspired from the model of human brain. Deep learning is becoming more popular in data science fields like robotics, artificial intelligence(AI), audio & video recognition and image recognition. Artificial Network (CNN) Convolutional neural network is one of the most popular ANN. It is widely used in the fields of image and video recognition. It is based on the concept of convolution, a mathematical concept0 码力 | 98 页 | 1.57 MB | 1 年前3《Efficient Deep Learning Book》[EDL] Chapter 2 - Compression Techniques
section we introduce Quantization, a popular compression technique which is also used in various fields of computer science in addition to deep learning. Quantization Before we jump to working with a0 码力 | 33 页 | 1.96 MB | 1 年前3
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