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1. Introduction of BP algorithm 1.1 Background Enlightened by the neural network in the human brain, computer simulation of the neural network in the human brain is used to realize machine learning technology of artificial intelligence. The bp algorithm is the most successful neural network algorithm to date. The bp algorithm can be used ...

Where is the video memory used? Generally, when training neural networks, the memory is mainly occupied by network models and intermediate variables. The parameters of convolution layer, full connection layer and standardization layer in the network model occupy the video memory, while the activation layer and pooling layer do not occupy ...

1, Convolution neural network is used to do facial expression recognition such as smiling face and non smiling face 1.1 research background Facial Expression Recognition In daily work and life, people's emotional expression mainly includes: language, voice, physical behavior (such as gestures), facial expression and so on. Among these behavi ...

5.3 using pre trained convolutional neural networks Pre trained network: It has been used in large data sets (usually large-scale image classification tasks) Training Practice good , ...

Write a blog for the first time and share with you the gender recognition you just learned (not images). Judge gender according to a person's height, weight and gender 1. Backgroundneural network It has the functions of prediction, fitting and classification Neural networks connect a bunch of neurons together. 2. Objectives Through the corre ...

1, Overall structure All neurons in the adjacent layer of neural network are connected, which is called full connection. Previously, the full connection was realized with the affinity layer. for instance Fully connected neural network structure: Structure of convolutional neural network CNN: The Conv convolution layer and Pooling l ...

1, Introduction of BP neural network traffic sign recognition Road traffic signs are used to prohibit, warn, instruct and restrict road users to use roads in an orderly manner to ensure travel safety If the road traffic signs can be recognized automatically, the occurrence of road traffic accidents will be greatly reduced However, due to the c ...

Generally, in the process of model reasoning on the end side, the quantized data is used to participate in the calculation of each layer, rather than the original float data type. The usual quantized data types include UINT8/INT8/INT16, etc. due to the difference of data representation range, the accuracy loss must be involved in the quantizati ...

catalogue 1, Overview 2, Test process 1. Parameter preparation 2. Define the model 3. Obtain necessary data 4. Input model 5. Anchor frame screening ① Screening by Object Confidence ② Get type ③ Sort by Object Confidence ④ Non maximal inhibition 6. Draw the external frame 3, Code summary 1, Overview Before training, we first t ...

preface 1. Hands on learning and deep learning https://zh-v2.d2l.ai/ 2. Notepad https://github.com/d2l-ai/d2l-zh 3. Data operation and data preprocessing N-dimensional array is the main data structure of machine learning and neural network Data operation Data operation implementation 1. First, import torch, which is called pytorch, but w ...