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What one sees and hears is the official account of WeChat official account AI snail car. It will write a series of Project articles and meticulously place it, and will also write a reading note of a book, or a learning note of language / framework, and will also write personal reflection, personal reflection, personal stories, what you see and hear, and here you may meet the things you have met. , but there must be something new. That's interesting.
AI snail car personal introduction
Pen name: AI snail car
GitHub / public blogger ID is Che Hong Shu
Born in Harbin, Heilongjiang Province
Master of Southeast University, expert of CSDN blog
Zhihu's column is speeding up at present
You can follow the company ID, click Zhihu to get the link
Since the first year of undergraduate course, I have learned all kinds of techniques by myself, and I don't think there is any proficient technology
Undergraduate performance point major No.1, the only escort student of the College
SEU is selected between ZJU and SEU
National scholarship, top ten university students
More than ten projects have been done by provincial excellent graduates and Undergraduates
Dozens of patents, projects and awards above provincial level
Main research fields: time series prediction, time series data mining
Ali Tianchi time and space series forecast top 2 in the preliminary and top 3 in the second round
Ccf-bdci time series predicts the top 0.5% of the track
Like basketball, playing more than half of the professional water dispenser position
Like livehouse, the real sense of close distance
Like green Kay, loyal kaymi
It is highly recommended to read the following article
Personal summary in 2019 and some prospects in 2020
Personal wechat: please indicate (nickname + company / school + direction) in extra time, do not give information, do not pull group
Historical articles
The official account AI snail car is dedicated to sharing technology, sharing ideas, creating values, and recognizing people who dream together.
Systematic handlebar AI project [handlebar AI project] i. installation of dual systems of win10 + linux-ubuntu 16.04 (the most detailed in the whole network)
[handlebar AI project] II. Ubuntu 16.04 + Caffe + cuda10.0 + cudnn7.4 + python2.7
[handle AI project] 3. Use Anaconda to configure tensorflow GPU environment (Linux + windows)
[handle AI project] IV. caffe_ssd installation and test of vgg_ssd network with voc2012 and voc207 data sets
[handlebar AI project] v. create image VOC data set by yourself for object detection
[handlebar AI project] VI. Caffe implements mobilenetssd and explains each file in detail, and trains mobilenetssd model with its own data set
[handlebar AI project] VII. The use of mobilenetssd in PC through the ncnn forward reasoning framework (object detection)
[handlebar AI project] VIII. The use of mobilenetssd in Android through the CNN forward reasoning framework -- cmake compilation (target detection) Part 1
[handlebar AI project] VIII. The use of mobilenetssd in Android through the ncnn forward reasoning framework -- cmake compilation (target detection) 2
[handlebar AI project] IX. the use of mobilenetssd in Android through the ncnn forward reasoning framework - cmake compilation supplementary chapter (multi-objective)
[handlebar AI project] X. implement caffe-int8-convert-tools to quantify Caffe model
[handlebar AI project] Xi. Pruning notes of model in deep learning
Summary of three Python Libraries
[data mining] summary of common usage of pandas of three swordsmen of machine learning
[data mining] summary of common usage of pandas of three swordsmen of machine learning
[data mining] summary of Matplotlib common usage of three swordsmen in machine learning
Machine learning, deep learning, and other Python articles [tools] host and execute their own Python 3 engineering programs on the cloud server
[tools] python3 uses SMTP to send email autonomously
[tools] how to optimize the memory and speed up data reading of pandas (with code details)
[tools] read all text data in the folder, and open a single data with open to process the final output. CSV file
[tensorflow learning notes] preprocessing of picture data I. - encoding and decoding to adjust the size and color brightness
[tensorflow learning notes] preprocessing of image data II. Drawing annotation box, preprocessing complete framework
[tensorflow practice notes] convolutional neural network CNN introduction practice cifar10 data set (tensorbboard visualization)
[tensorflow practice notes] convolutional neural network CNN introduction practice cifar10 data set (tensorbboard visualization)
[pytorch learning notes] i. detailed tutorial of installing pytorch version of GPU (avoiding pit)
[deep learning] popular vernacular to elaborate RNN theory and LSTM theory
[deep learning] detailed interpretation of various formulas and differences between LSTM and Gru units
Why is "convolution" not convolution operation in convolution neural network?
[openpyxl] write Excel to a column or a row in Python
[opencv] install opencv3.4.3 under Linux
Sort [basic algorithm learning notes]
[basic algorithm learning notes] queue, stack and linked list
[basic algorithm learning notes] enumeration
[basic algorithm learning notes] depth first search (DFS)
Copy of complex linked list
[sword finger offer] print the linked list from the end to the end-python
[sword finger offer] adjust the array order so that the odd number is in front of the even number - Python
Reid (1): what is Reid? How to do Reid? Reid data set? Reid evaluation index?
Reid (2): baseline Construction: global feature extraction network based on pytorch (finetune resnet50 + tricks)
Reid (3): Advanced: learning block local features
Reid (4): further: fine-grained multi feature fusion
[Linux] don't shut down the machine violently. Tell me about my recent problems and perfect solutions
Resource sharing and summarizing what you can do with time series
[experience sharing] summary of summer practice of machine learning post in goose factory
AI competition predict future sales (Time Series) - basic scheme of kaggle silver medal (top 4%) (I): analysis of the background and data fields of the competition
Predict future sales (Time Series) - kaggle silver medal (top 4%) (2): EDA and data preprocessing
Predict future sales (Time Series) - kaggle silver medal (top 4%) basic scheme (III): Feature Engineering and offline verification Division
Predict future sales (Time Series) - kaggle silver medal (top 4%) basic scheme (IV): single model prediction and model fusion
paper reading【KDD19】A Machine Learning Approach for Weather Forecasting
【IEEE】A Generative Adversarial Gated Recurrent Unit Model for PN
What is the problem of spatiotemporal sequence? What are the main models applied to this kind of problems? What are the main applications?
[prediction of time and space series Part 2] revolutionary LSTM network paper reading
Predrnn (prediction learning cycle neural network based on St LSTM)
Predrnn + + of spatiotemporal sequence prediction model (to solve the deep time dilemma of spatiotemporal prediction)
Memory in memory (learning high-order non-stationary feature information) of time-space series prediction model
[space time series prediction part 6] eidetic 3D LSTM of space time series prediction model (combining 3dconv and RNN)
The Gan + LSTM of the spatiotemporal sequence prediction model
This column focuses on the prediction direction of time-space series, and keeps updating. Please look forward to it~~~
Vernacular machine learning series [vernacular machine learning] algorithm theory + practical k-nearest neighbor algorithm
[vernacular machine learning] algorithm theory + practical decision tree
[vernacular machine learning] algorithm theory + naive Bayes of actual combat
[vernacular machine learning] algorithm theory + practical support vector machine (SVM)
[vernacular machine learning] algorithm theory + practical EM clustering
[vernacular machine learning] algorithm theory + PCA dimension reduction in practice
[vernacular machine learning] algorithm theory + practical K-means clustering algorithm
This column focuses on machine learning algorithm in a humorous way, and keeps updating. Please look forward to it~~~
DL knowledge collection series article [DL knowledge collection] Python version 1: activation function summary
[DL knowledge collection] Python version 2: summary of loss function
[DL knowledge collection] Python version Part 3: optimizer summary
[DL knowledge collection] Python version Part 4: how to adjust the learning rate
This column focuses on using the python framework to summarize the knowledge related to deep learning algorithm, and keeps updating. Please look forward to~~~
This column is being written
This column focuses on solving the time series prediction problem with AI method, and keeps updating. Please look forward to~~~
At present, the official account is actively creating original articles. Four original series articles are updated together. We look forward to your attention!
Thinking, reflecting, seeing and hearing the holiday is over. What did you do???
Postgraduate entrance examination
Serious choice does not mean hesitation.
Not leaving a message is not necessarily a bad thing
We may never see each other again, friend.
Ascending dimension
Come on, China!! In fact, what I love most is Allianz!
Take the postgraduate entrance examination, from Hangzhou Electric Power Co., Ltd. to Tsinghua University, hard work, planning, steadiness and self-discipline.
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AI snail car
Keep humble, keep self-discipline, keep progress