In this blog, I walk you through how you can train your own custom object detector with Tensorflow 2. This won’t be Tutorial to do certain type of detection but more of a common approach which we can take to detect anything. To train a custom object detection model with…

This article will covers Reinforcement Learning. This technique is different than many of the other machine learning techniques we have and has many applications in training agents (an AI) to interact with environments like games. …

Natural Language Processing (or NLP for short) is a discipline in computing that deals with the communication between natural (human) languages and computer languages. A common example of NLP is something like spellcheck or autocomplete. …

This tutorial demonstrates how to generate images of handwritten digits using a Deep Convolutional Generative Adversarial Network (DCGAN). The code is written using the Keras Sequential API with a tf.GradientTape training loop. What are GANs? Generative Adversarial Networks (GANs) are one of the most interesting ideas in computer science today. Two models are…

This article contains 800+ of resources at one place these resources are scattered on the internet but here I will give you all of them at one place starting from concepts of machine learning ,blogs ,tutorials many deep learning concepts Concepts of machine learning How to deliver on Machine Learning projects — Insight Data …

so we will walk through how actually c code that generates donut shape works At its core, it’s a framebuffer and a Z-buffer into which I render pixels. Since it’s just rendering relatively low-resolution ASCII art, I massively cheat. All it does is plot pixels along the surface of the…

In this guide we will learn how to peform image classification and object detection/recognition using convolutional neural network. with something called a computer vision The goal of our convolutional neural networks will be to classify and detect images or specific objects from within the image. …

In 2005, a game company open-sourced the engine software for their video game Quake 3 arena and after looking in that source code fans of the game discovered an algorithm that was so ingenious it quickly became famous, and the only thing this algorithm does IS to calculate the inverse…

In this notebook, you will learn how to create and use a neural network to classify articles of clothing. To achieve this, we will use a sub-module of TensorFlow called keras. Keras Before we dive in and start discussing neural networks, I’d like to give a breif introduction to keras. …