Computer Vision Object detection Series…!!!
Over the past decade, Deep learning has drawn much greater attention and become imperious technology in the Artificial intelligence area. Object detection is considered one of the noteworthy areas in the deep learning and Computer vision. Object detection has been determined the numerous applications in computer vision such as object tracking, retrieval, video surveillance, image captioning, Image segmentation, Medical Imagine and several greater number other applications as well. In this article, we are going to be understanding all the fundamental things about object detection. So, Let’s get started.
1. What is Object Detection?
- Object Detection is a technology of deep…
Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python’s design philosophy emphasizes code readability with its notable use of significant whitespace. Its language constructs and object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects.
The Python language’s core philosophy is summarized in the document The Zen of Python (PEP 20), which includes aphorisms such as:
- Beautiful is better than ugly.
- Explicit is better than implicit.
- Simple is better than complex.
- Complex is better than complicated.
- Readability counts.
Because of this python is become first…
Ensemble Learning Series…!!!
Hey Folks…!!! Welcome Again this article series of Ensemble learning…!!! Today, I am talking about amazing concept called Stacking. So let us assume the scenario where you want to buy some product and you have taken so many review from people about that product and feedback etc. and Then after you bought that product based on all feedback you have received, This process is similar like Stacking.
Stacking is a ensemble learning method that combine multiple machine learning algorithms via meta learning, In which base level algorithms are trained based on a complete training data-set, them meta…
Ensemble learning Series…!!!
Unity is strength you can already know that we have already listen the story in our childhood. if you haven’t listen the story don’t worry below is the video just listen. So, you can understand better what is concept all about.
Finally, you understood after watching this video right. Let me tell you if you are together work for something it’s like team work which build your strength. what this story is all about. that’s why I used word. Unity is power. Let me explore now about boosting, what we all are here to…
Statistics Tutorial Video Guide by Brandon Foltz…!!!
Hi Everybody, with my real world experience with these resources, I’m coming with awesome post again. One day, I thought about the statistics importance to gaining the better understanding from the data, and I was looking over internet , and fetching so many result. All is really good, But I missed something and that is structure way, which we guide me on perfect direction. I came across with so many you tube channel as well famous websites and courses. …
Google Designed New Architecture of Neural network
Google AI is one the leading research community who are doing massive research in AI. Google is one of the leading Internet company who has invested massive amount of resources in AI Research. So, Today I am sharing one of the new architecture of neural network design and invented by Google Team after spending massive time behind the research. Thanks google for amazing work…!!!!
1. EfficientNet: Improving Accuracy and Efficiency through AutoML and Model Scaling
New algorithm and architecture of Deep learning
Our world is full of amazing stuff. But that doesn’t mean we have limited number of architecture in machine learning and deep learning for that only one way you have to explore research. Research is full of amazing collection of deep learning architecture. So, In this article I have collected this type of Architecture which may be useful for your next Deep learning project.
1. Implicit Autoencoders by Alireza Makhzani
- “Implicit autoencoder” (IAE), a generative autoencoder in which both the generative path and the recognition path are parametrized by implicit distributions.
- Implicit distributions allows us to learn more expressive…
Ensemble learning Series…!!!
Ensemble learning Series — (Happy Learning…!!!)
- Ensemble Learning Relation With Bias and variance
- Ensemble Learning- The heart of Machine learning
- Bagging — Ensemble meta Algorithm for Reducing variance
- Boosting- Ensemble meta Algorithm for Reducing bias
- Stacking -Ensemble meta Algorithms for improve predictions
- Ensemble learning impact on Deep learning
Bagging — The Enemy of the Variance
Bagging, an acronym for bootstrap aggregation, creates and replaces samples from the data-set. In other words, each selected instance can be repeated several times in the same sample. We seem to increase our training data with bootstraps, which are each created and then used to create a classifier model. …
From Deployment to Feedback
Welcome to the data science methodology. Till now we have seen all 4 stages of data science methodology from Problem to approach, Requirement to collections, Understanding to preparation, Modeling to Evaluation. We have discuss amazing example with case study approach if you haven’t read this article series read from below links. and already read that go directly with this articles. In this article, You can learn about how to Model deploy and how to take feed back a model so model become more mature by the time.
Article Series :
From Modelling to Evaluation
Welcome to the data science methodology. Till now we have seen all 3 stages of data science methodology from Problem to approach, Requirement to collections, Understanding to preparation. We have discuss amazing example with case study approach if you haven’t read this article series read from below links. and already read that go directly with this articles. In this article, You can learn about how to select the model and how to evaluate that model or this model is ready for deployment or not.
Article Series :
Ashish Patel
Data Scientist | Kaggle Kernel Master | Deep learning Researcher
