alexnet in keras

Objective Since Alexnet won the title of ILSVRC imagenet Image Classification contest, the upsurge of convolution neural network (CNN) has swept the whole computer vision field. The CNN model quickly replaces the traditional artificial design (hand-crafted) feature and classifier, not only provides an end-to-end processing method, but also greatly refreshes the accuracy of each image competition task, even more than the human eye precision (LFW face

more convolution cores are, the more features they extract, the more precise the theory is, and the more the convolution cores mean the more parameters we have to train. In the LENET-5 classic structure, the first layer of convolution core selection of 6, and in Alexnet, the first layer of convolution core selected 96, the specific number of suitable, still need to learn. Back to the concept of feature map, each of CNN's convolution layer we have to

. activation functionsBefore looking at Keras document mentioned Relu, thought very complex, in fact, the formula is very simple, simple is good ah.It is important to understand the reasons behind* sigmoid sigmoid a variety of bad, and then began to improve.TLDR is too long; doesn ' t readData PreprocessingUFLDL inside the Zca albino what.weight Initialization is to tell you a conclusion, weight is not initialized good, will affect the b

Deep learning is a prominent topic in the AI field. it has been around for a long time. It has received much attention because it has made breakthroughs beyond human capabilities in computer vision (ComputerVision) and AlphaGO. Since the last investigation, attention to deep learning has increased significantly. Deep learning is a prominent topic in the AI field. it has been around for a long time. It has received much attention because it has made breakthroughs beyond human capabilities in Comp

Oaching to me and hides the screen.Specifically, Keras is used to implement neural network for learning his face, a Web camera was used to recognize that he I s approaching, and switching the screen.MissionThe mission is-to-switch the screen automatically when my boss was approaching to me.The situation is as follows:It is on 6 or 7 meters from the seat to my seat. He reaches my seat in 4 or 5 seconds after he leaves his seat. Therefore, it's necessa

neural network implemented by JavaScript and its common modules, and includes a large number of browser-based instances. These documents and instances are numerous and complete. Don't let JavaScript and neural networks combine to scare you away, which is a very popular and useful project. 4. Keras Keras is also a library of Python deep learning programs, but it leverages TensorFlow and Theano, which means

Python is a common tool for data processing, can handle the order of magnitude from a few k to several T data, with high development efficiency and maintainability, but also has a strong commonality and cross-platform, here for you to share a few good data analysis tools, the need for friends can refer to the next Python is a common tool for data processing, which can handle data ranging from a few k to several T, with high development efficiency and maintainability, as well as a strong versati

://github.com/richliao/textClassifier (Keras)Https://github.com/ematvey/hierarchical-attention-networks (TensorFlow)Https://github.com/EdGENetworks/attention-networks-for-classification (Pytorch)I'm a split line.[5] Recurrent convolutional neural Networks for Text classificationSiwei Lai et al.Chinese Academy of SciencesAAAI 2015https://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/viewFile/9745/9552This article presents a cyclic convolution neural net

, the bigger the money, the better.Power problem: A video card power is close to 300W, four graphics card recommended power over 1500W, in order to expand later, the selection of 1600W power.Chassis heat Dissipation:Because of the size of the various components, a large chassis with good thermal dissipation is required, and the TT Thermaltake Core V51 chassis is selected, with 3 12cm fans as standard. In the future, if necessary, water-cooled equipment can be installed.The above is the main hard

# Coding: UTF-8 ''' Google wide Deep model ''' written in Keras import pandas as pdfrom Keras. models import sequentialfrom Keras. layers import dense, mergefrom sklearn. preprocessing import minmaxscaler # All data columns = ["Age", "workclass", "fnlwgt", "education", "education_num", "marital_status", "Occupation ", "relationship", "race", "gender", "capital_g

expressions in programming languages, when we want to match \ The time needs to match 4 \, \\\\ match \, because the first programming language will transfer \\\\ to \ \, and then the second time will be transferred \ \. If you use the native string r of Python to write the regular, you can write less two \, that is, R ' \ \ ' matches \,r ' \\d ' match ' \d ', R ' \d ' matches the numberUse of the 1.2 re module#first compile the regular expression into the pattern objectPattern = Re.Compile('

2.7 and 3.5 Two versions of Python were installed on the notebook, and failed to create process error occurred while installing Keras with the 3.5 version of PIP. Here's how to fix it:1. Since I have configured both 2.7 and 3.5 paths in the environment variable, I can execute python3 directly at the command line to start the 3.5 version of Python;2. Start the PIP via Python3, enter the python3-m pip install Keras