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LAPEYRE Nathan
LAPEYRE Nathan

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Sep 16, 2022

Rough Bitcoin Prediction with Time Series Forecasting

Time Series Forecasting, what exactly does it mean ? Time Series Forecasting is a method used to analyze time series data using statistics and modeling to make predictions. The prediction is not always exact, it can be approximate and should be seen as a probability, “the likelihood of forecasts can vary wildly”. …

Machine Learning

7 min read

Rough Bitcoin Prediction with Time Series Forecasting
Rough Bitcoin Prediction with Time Series Forecasting
Machine Learning

7 min read


Jun 24, 2022

Understanding of Transfer learning and Fine-tuning

Abstract In our case the two main topics were Transfer learning and Fine-tuning, in order for us to understand what does it mean and how to use it. Transfer learning is a research problem in machine learning whose purpose is to store knowledge of a pre-trained model and transfer it to…

3 min read

Understanding of Transfer learning and Fine-tuning
Understanding of Transfer learning and Fine-tuning

3 min read


Jun 9, 2022

Summary of ImageNet Classification With Deep Convolutional Neural Networks

This is a a summarize of the following article :ImageNet Classification with Deep Convolutional Neural Networks, required for Holberton School Project Introduction Until recently, datasets of labeled images were relatively small — on the order of tens of thousands of images. Simple recognition tasks can be solved quite well with…

3 min read

3 min read


Jun 6, 2022

How to regularize your Neural Network

Introduction “Regularization is a process that changes the result answer to be “simpler”. It is often used to obtain results for ill-posed problems or to prevent overfitting.” It is used in machine learning in order to obtain a better accuracy or avoid overfitting and speed up the training process of a…

3 min read

How to regularize your Neural Network
How to regularize your Neural Network

3 min read


May 26, 2022

Neural Network : Scaling & Gradient descent optimization

Introduction In this article, I wanted to give you a little overview of some techniques to optimize your Neural Network, by influencing your gradient gradient descent and the scale of the data. It could help increasing the accuracy of the NNs and reduce it’s training cost, but be aware of overfitting…

5 min read

Neural Network : Scaling & Gradient descent optimization
Neural Network : Scaling & Gradient descent optimization

5 min read


May 10, 2022

Activation Function in Artificial Neural Network, what is its purpose ?

Introduction — Activation Functions are mathematical functions applied at the output of an artificial neuron, it is named after the “Action potential” from biological neural networks. It served as a stimulation threshold equivalent, once it is reached it will result in the neural response. …

4 min read

Activation Function in Artificial Neural Network, what is its purpose ?
Activation Function in Artificial Neural Network, what is its purpose ?

4 min read


Nov 3, 2021

Survey Storm

Introduction — In this article, you will have an overview of our Portfolio project that we decided to call Survey Storm, the goal of this project was to provide a tool that will help people working with surveys and statistics. Letting them build custom surveys. …

Portfolio

5 min read

Survey Storm
Survey Storm
Portfolio

5 min read


Mar 8, 2021

Static Libraries : What use ?

What are Static Libraries ? It’s a collection of object files that can be used to link to programs without recompiling it’s source corde. It is less used that it was, as the compilation are faster nowadays and the main goal of a static library is saving recompilation time. …

Informatics

2 min read

Static Libraries : What use ?
Static Libraries : What use ?
Informatics

2 min read


Feb 10, 2021

Compilation : How does it work ?

Before introducing what is compilation and what are it’s different steps, know that we will use GCC (GNU Compiler Collection) to illustrate our examples, an optimizing compiler produced by the GNU project. It support different kind of programming languages such as : C (with gcc) C++ (with G++) Objective-C (with…

Compilation

3 min read

Compilation : How does it work ?
Compilation : How does it work ?
Compilation

3 min read


Feb 7, 2021

Hard link and Symbolic link : What are they ?

Hard links and Symbolic links are used as pointers to the files, referring to what (content, permissions, etc…) and where (location of the file) it is. What is the difference between those two ? Those are two differents way of doing, as seen above in the picture, we will talk what’s specific about each other and how to…

Linux

2 min read

Hard link and Symbolic link : What are they ?
Hard link and Symbolic link : What are they ?
Linux

2 min read

LAPEYRE Nathan

LAPEYRE Nathan

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