awesome deep learning and machine learning questions
1.0.0
This warehouse collects and organizes valuable questions/answers related to machine learning, deep learning, reinforcement learning, data science, etc. (such as inspirational significance, popular science, questions/answers that broaden horizons and make people think broaden their minds, or summary and sorting questions/answers).
Welcome all the experts to provide the excellent questions and answers you have found and brainstorm~ Thank you~
What highlights are worth paying attention to in CVPR 2019? zhihu link
How to evaluate Google Brain's EfficientNet? zhihu link
How to reproduce the accuracy (IoU) of a reset-based FCN? zhihu link
What are the specifications and writing skills of experimental codes in scientific research in deep learning? How to properly manage experimental data? zhihu link
In deep learning research, how to efficiently manage code and experiments? zhihu link
Where should artificial intelligence practitioners find and read top papers? zhihu link
What are the important academic conferences and top labs in the field of artificial intelligence? zhihu link
A must-read books and papers for getting started with deep learning? What are the essential skills to learn? zhihu link
How to understand deconvolution networks in deep learning? zhihu link
How to evaluate Kaiming He's latest Mask R-CNN?zhihu link
How to find high-quality papers in machine learning? zhihu link
How long does a machine learning researcher need to be able to reproduce a paper?zhihu link
How to parse the evolution of deep learning Inception from v1 to v4? zhihu link
How to rate MSRA's latest Deformable Convolutional Networks? zhihu link
What are some good CNN models to draw? zhihu link
What are some well-known journals or conferences in the fields of data mining and machine learning? zhihu link
In addition to arxiv.org, where can we read more professional literature related to machine learning and data mining? zhihu link
What are the main research directions of deep learning?
How to understand the Google team's new machine translation work "Attention is all you need"? zhihu link
What are some fun and easy-to-implement papers for deep learning? zhihu link
What are the main research directions for artificial intelligence at present? zhihu link
What are the research hotspots of distributed/stochastic optimization? zhihu link
What is the most cutting-edge research direction for artificial intelligence, especially deep learning? zhihu link
Is there any direction in which the human brain combines AI (artificial intelligence) in the current research on neuroscience and brain science? If so, what is the progress? zhihu link
What is the research prospects for the direction of biomedical image processing in machine learning? zhihu link
At present, which direction is more popular in the field of image processing? Or is it easier to do? zhihu link
How can we get inspired by cognitive neuroscience and brain science in the research of computer vision and machine learning? zhihu link
In the Deep Learning direction, what papers do you think should not be missed? zhihu link
I am now studying for a first-year study and want to graduate from a paper. How do I use machine learning paper? zhihu link
Where should I find a paper on machine learning? zhihu link
How to adjust parameters of baseline method in deep learning papers? zhihu link
Are online courses for deep learning and machine learning on the Internet worth learning? zhihu link
What are the better machine learning and deep learning network resources available? zhihu link
Machine Learning Book Selection?zhihu Link
How to evaluate the Chinese version of Deep Learning, the "Flower Book" of the Bible in the field of deep learning? zhihu link
What are the introductory books on machine learning and image recognition? zhihu link
When learning deep learning by yourself, what are the ways to find data sets? zhihu link
I have recently started learning machine learning. I don’t know which book is better (PRML ESL or MLAPP)? zhihu link
Which course or book should you start with in-depth machine learning? Please recommend resources? zhihu link
What books should be read for machine learning? zhihu link
What are some excellent introductory books for deep learning? Do you need to learn machine learning first? zhihu link
Any recommendations for basic books on deep learning mathematics? zhihu link
What are the better artificial intelligence learning platforms at home and abroad? zhihu link
What are the best tools for learning machine learning? zhihu link
What are the relationships and differences between machine learning, deep learning and reinforcement learning? zhihu link
What is the relationship between machine learning, optimization theory, statistical analysis, data mining, neural networks, artificial intelligence, and pattern recognition? zhihu link
The difference between artificial intelligence, machine learning and deep learning?
When did the neural network be renamed "Deep Learning"? zhihu link
What are the main research directions for artificial intelligence at present? zhihu link
Can anyone explain in detail the concept of neural networks displayed by TensorFlow Playground? zhihu link
What are some interesting projects on GitHub about image processing or machine learning? zhihu link
What are some interesting projects on GitHub about NLP or DL? zhihu link
How do new computer graduate students arrange for three years to study deep learning? zhihu link
Is it necessary to implement the machine learning algorithm yourself? zhihu link
How do people with limited computing resources grow in the Deep Learning field? zhihu link
What materials do you need to learn to understand the optimization theory in machine learning? zhihu link
Why is convex optimization so important? zhihu link
Why do some mathematics students dislike Deep Learning? zhihu link
What kind of revolution can optimization theory bring to deep learning? zhihu link
Why are probability theory and mathematical statistics so important in machine learning? zhihu link
What are the advantages of PyTorch released by Facebook on January 18, 2017 compared to TensorFlow and MXNet? zhihu link
How to effectively read PyTorch's source code? zhihu link
Why do you need to manually clear the gradient before backpropagation in PyTorch? zhihu link
What are the tips for saving memory (video memory) in Pytorch? zhihu link
How to evaluate PyTorch 1.0 Roadmap? zhihu link
How to evaluate PyTorch 1.0? zhihu link
How to evaluate the official version of PyTorch 1.0? zhihu link
What are the pitfalls/bugs in PyTorch? zhihu link
What are the pitfalls in Pytorch1.0.0? zhihu link
Compared with Python, can Matlab become a tool for in-depth learning of data mining?
How to evaluate the programming language Julia 1.0? zhihu link
Why is it rare to talk about matlab’s neural network toolkit when talking about deep learning tools? zhihu link
It's 2018, how has MXNet developed? zhihu link
Why can't the powerful MXNet become popular? zhihu link
How to read the code of MXNet? zhihu link
How to learn TensorFlow code efficiently?zhihu link
What are the TensorFlow tips that you wish you met too late? zhihu link
Why is TensorFlow a machine learning framework suitable for deployment production? zhihu link
How do developers choose deep learning frameworks? zhihu link
What are the best tools for learning machine learning? zhihu link
Is there anyone who combines Deep Learning and Reinforcement Learning in the artificial intelligence library? zhihu link
What does kernel in machine learning mean? zhihu link
How to deal with missing data in machine learning? zhihu link
What math preparatory knowledge should be prepared for machine learning? zhihu link
What are the essential similarities and differences between machine learning algorithms and the algorithms in the ordinary "Introduction to Algorithms"? zhihu link
What exactly is machine learning and how to use this technology? zhihu link
What are the common/important tools for data preprocessing in machine learning? zhihu link
Is weak label learning in machine learning a semi-supervised learning? zhihu link
Why should we assume that our data is independently distributed in machine learning?
What are the methods used in machine learning to prevent overfitting? zhihu link
The accuracy of the training set is close to 100%, and the accuracy of the verification set is 80%, but it does not increase or decrease as the training step increases. Is it overfitting or underfitting? zhihu link
What are the techniques for deep learning parameter adjustment? zhihu link
Why can neural networks fit any function (in theory)? zhihu link
Why does gradient descent become the mainstream when training neural networks? zhihu link
Will pooling in CNN lose valuable feature information? zhihu link
How do you determine the size of the convolution kernel, the number of convolutional layers, and the number of maps per layer of a convolutional neural network? zhihu link
How to choose the Batch size when training neural networks?zhihu link
Isn’t all problems suitable for prediction using neural networks? zhihu link
Why do we say that neural networks are black boxes? zhihu link
Why do neural networks train the same set of parameters have different accuracy? zhihu link
What is the specific function of the activation function in artificial neural networks? Why is ReLu better than tanh and sigmoid function? zhihu link
Why are the current CNN models adjusted on GoogleNet, VGGNet or AlexNet? zhihu link
How to understand the fusion characteristics in neural networks through add? zhihu link
What else can be done in the field of target detection? zhihu link
How to define "small target" in the small target detection problem? What are its main technical difficulties? What are the better traditional or deep learning methods?
What are the development and trends of neural networks and image processing in recent years? zhihu link
What are the strange tricks and tricks about semantic segmentation? zhihu link
What are the mainstream attention methods at present? zhihu link
Has computer vision entered a bottleneck period? zhihu link
What are the shortcomings and room for improvements in Attention mechanism? zhihu link
Can the Attention mechanism be applied to the improvement of image segmentation? zhihu link
What are the applications of deep learning in path planning? zhihu link
The progress and application of weakly supervised learning in semantic segmentation?zhihu link
Why is Deep Learning not currently successful in NLP? zhihu link
In text classification tasks, what are the tricks that are rarely mentioned in papers but have important effects on performance? zhihu link
What are the commonly used natural language processing open source projects/development packages? zhihu link
What is the core competitiveness of NLP (natural language processing) algorithm engineers in the industry? zhihu link
How to learn in the direction of natural language processing? zhihu link
How to evaluate the BERT model? zhihu link
What is the better sentence/paragraph embedding method in NLP? zhihu link
In the field of NLP, what are the research/ideas that are most promising to break through the deep learning cage at this stage? zhihu link
What are the good materials, websites and tools for text sentiment analysis? zhihu link
What are some good open source projects, websites, and articles to recommend reinforcement learning? zhihu link
Can reinforcement learning make news recommendations achieve good results? zhihu link
If there is any research on reinforcement learning, what is the research value and application prospect of reinforcement learning? zhihu link
How to get started with reinforcement learning? zhihu link
What is reinforcement learning? zhihu link
What is the understanding of "reinforcement learning :an introduction"? zhihu link
Is reinforcement learning (RL) the key to artificial intelligence and can bring qualitative changes to artificial intelligence? zhihu link
What are the important theoretical results in reinforcement learning (RL)? zhihu link
How to do reinforcement learning based on supervised learning? zhihu link
Can you introduce Reinforcement Learning and its differences from supervised learning? zhihu link
What are some good open source projects, websites, and articles to recommend reinforcement learning? zhihu link
What are the specific differences between the two major RL schools behind DeepMind and OpenAI? zhihu link
What companies are there in China that do reinforcement learning? zhihu link
Two questions about experience replay in reinforcement learning? zhihu link
How to use simple examples to explain the specific process of Q - learning? zhihu link
Will the combination of genetic algorithms and deep reinforcement learning be a new direction? zhihu link
Active Learning has developed since the 1990s and has the potential of substantial value. Why is it unknown? zhihu link
What are the principles of active learning algorithms and what are their specific applications? zhihu link
Active Learning Is there anyone else doing research on this?
What is the prospect of data analysts?
Why did you leave the Data Science industry?
How will the job requirements of Data Scientist change in the next five years? zhihu link
What are the core skills of Data Scientist? zhihu link
The same data analysis method, why is time series analysis not as popular as data mining or machine learning? zhihu link
Is it reliable for a 28-year-old girl to change careers to do data mining? zhihu link
What are the commonly used data cleaning methods in data mining? zhihu link
How to evaluate the quality of recommendation websites like Toutiao? zhihu link
What pitfalls have you encountered in the process of building a recommendation system? zhihu link
How to adjust parameters for the recommended system model? zhihu link
Can Deep Learning be used as a recommendation system? zhihu link
How do interviewers judge the interviewer's level of machine learning? zhihu link
How to prepare for an interview with a machine learning engineer? zhihu link
What is the difference between machine learning work content and kaggle competition? zhihu link
Does it really require a professional CS in engaging in AI? zhihu link
Why are GBDT and Random Forest very good in actual kaggle matches? zhihu link
Why are all artificial intelligence products that claim to be smart a little stupid? zhihu link
Are all the models used by artificial intelligence in the industry at the forefront? zhihu link
What are the more mature applications based on deep learning in the industry now? zhihu link
What is your ideal future AI era like? What changes will happen to various industries and personal lives in the next 25 years? How should we prepare? zhihu link
Are machine learning, deep neural networks and other methods in the right direction? zhihu link
What are the conclusions or opinions that are widely mentioned in the fields of machine learning and deep learning that you do not agree with? zhihu link
Does Deep Neural Network (DNN) simulate the structure of the human cerebral cortex? zhihu link
What are the discussions in the book Deep Learning that have been verified, expanded or overturned by the latest research? zhihu link
How will the next step in deep learning (machine learning) develop? zhihu link
Which one, computer vision or natural language processing, has more development prospects, or does each have its own advantages? zhihu link
What is the application status of artificial intelligence technologies such as machine learning and deep learning in the industry? What is the supply and demand situation of manpower? zhihu link
Can artificial intelligence completely replace brain workers in the future? zhihu link
How far is deep learning from practical applications? Will there be large-scale applications? zhihu link
Does machine learning make artificial intelligence successful, or does artificial intelligence make machine learning successful? zhihu link
Is the research field of deep learning over-examination? zhihu link
Will the current hot Deep Learning exterminate the traditional SIFT/SURF feature extraction algorithm? zhihu link
Will deep learning eliminate all other machine learning algorithms?
Machine learning requires a lot of manual annotation, especially deep learning. Is there any good solution? zhihu link
How do you view the underlying data labeling team and data factory behind the emerging artificial intelligence industry? zhihu link
What does Internet data markers do? Any future development? zhihu link
The future of AI data annotation? zhihu link
In the field of artificial intelligence abroad, how do data annotation be done? zhihu link
Are there any image annotation tools that are recommended or shared? zhihu link
What is the research significance of machine learning in the field of wireless communications? zhihu link
Which universities in China are doing research on deep learning chips? zhihu link
Are there great prospects and applications of machine learning and neural networks in control science? Why? zhihu link
Under the premise that the control verification set remains unchanged, as the number of samples in the training set increases, the accuracy of the verification set does not increase but decreases? zhihu link
Can artificial intelligence algorithms improve accuracy by outputting results? zhihu link
What are the advantages and disadvantages of accuracy, recall, F1 value, ROC, and AUC? zhihu link
What are the differences between machine learning experts and statisticians? zhihu link
How to evaluate what Yann LeCun said, "To study machine learning, you should try to learn more physics and mathematics classes in undergraduate studies"? zhihu link
How to understand fine-grained and coarse-grained? zhihu link
What are the theoretical combinations of controls (dynamic systems and feedback control, state estimation, etc.) and machine learning (deep learning, reinforcement learning, etc.) that deserve attention? zhihu link
What are the fundamental limitations of machine learning (including but not limited to deep learning) algorithms? zhihu link
Do graduate students in the machine learning direction need to learn R&D knowledge? zhihu link
To study the interpretability of deep learning, what aspects should we start from? zhihu link
Is modern artificial neural networks a dead end? Is this technology a scam? zhihu link
Now that neural networks are developing rapidly, where does traditional machine learning go? zhihu link
