Make it from scratch 🔥

Do you want to write popular machine learning and deep learning models from scratch? 😉 This repository is perfect for you 👌

Table of content 📑

• Introduction
• Requirements
• Models
• Issues

Introduction 🎓

Creating machine learning and deep learning models is not all about 💔

import tensorflow as tf
from tensroflow import keras

I do not deny that tensorflow is useless 😮 (it's actually powerful) but have you ever wondered how it looks from the mathematical side ❓

Requirements 📣

• Python 3.7+ 🐍
• Numpy 💻
• Matplotlib 📊

pip3 install numpy matplotlib

Check if everything works properly ✅

import numpy as np
import matplotlib.pyplot as plt

Models 🚀

Models and concepts complete list 🌈

• Machine Learning

  • Validation
  • Batch sampling
  • Normalization
  • Stochastic gradient descent
  • Cost functions
  • Regression
    • Linear Regression
    • Logistic Regression
  • Performance analysis
    • Mean squared error
    • Accuracy
    • F1 score

• Neural Networks

  • Activation functions
    • Relu
    • Sigmoid
    • Binary
    • Tanh
    • Softplus
    • Softmax
    • Maxout
  • Regularization
  • Fully connected
  • Convolutional neaural network
  • Recurrent neural network

Issues 💦

Feel free to open new Issue or pull request 😇