This is introduction tutorial to Reinforcement Learning. To understand everything from basics I will start with simple game called - CartPole.
Cartpole Double DQN
This is second reinforcement tutorial part, where we'll make our environment to use two (Double) neural networks to train our main model.
Cartpole Dueling DDQN
In this post, we’ll be covering Dueling DQN networks for reinforcement learning. This architecture is an improvement of our previous DDQN tutorial.
YOLO v3 CS:GO aim bot
This is my last tutorial with object detection in CS:GO, check out what results i got with custom YOLO v3 object detection model in this unusual aim bot.
YOLO v3 custom training
Continuing from my previous tutorial, where I showed how to prepare custom data for YOLO v3 object detection training, finally I will show you how to train that model.
YOLO v3 custom data
In this step-by-step tutorial, I will show you how to prepare data for your own custom YOLO v3 object detector.
YOLO v3 theory explained
In this tutorial I will explain you what is YOLO v3 object detection model and how it works behind the math.
Convolutional Neural Network
Convolutional Neural Network (CNN, or ConvNet) is a class of deep neural networks, most commonly applied to analyzing visual imagery, this tutorial is about them.
Convolutional Neural Network
Welcome to second tutorial. Now I will step you through a deep learning framework that will allow you to build neural networks more easily.
Build NN in Tensorflow
In this tutorial part we will build a deep neural network using tensorflow. You'll see that training model on Tensorflow is significant faster.
Build CNN in Tensorflow
In this tutorial part we will Implement helper functions that we will use when implementing a TensorFlow model and a fully functioning ConvNet.
Build CNN in Keras
We'll learn to use Keras(programming framework), written in Python and capable of running on top of several lower-level frameworks.
Build ResNet in Keras
Now we will learn how to build extremely deep convolutional networks, using Residual Networks (ResNets)
Deep neural netowrks
In last tutorial series we wrote 2 layers neural networks model, now it's time to build deep neural network, where we could have whatever count of layers we want.
Neural network (2 layers)
It's time to build neural network, with one hidden layer. You will see that there is no big difference between this model and logistic regression.
Logistic regression tutorial
In this tutorial, we will start analysing how we can predict correct cat or dog in a given picture using logistic regression as neural network.
OpenCV image stiching tutorials
In this tutorials you will learn how to make panorama and image stitching using Python and OpenCV. I'll demonstrate step by step how image stitching can be performed.
Selenium with Python
In this short tutorial I will show you how to use Selenium with Python if you want to automate human work on your browser. I will introduce you with Selenium basics.
Tensorflow CAPTCHA solver tutorial
In this tutorial we will learn how to do step by step custom object detection from images, used technique we will use to solve simple CAPTCHA images.
Tensorflow CS:GO aim bot
In this tutorial we will learn how to create our real time TensorFlow custom object detection by using it like an aim bot on CS:GO shooter game.