Introduction to Research - This session will help you to start the wonderful journey of research. Finding a research problem - Finding a research problem is the most important aspect of any research project . Introduction to Machine Learning:- What is Machine Learning?, - in this session we will get an overview of machine learning

Before you read this article you should also read my first article here, Because in my first article I have given you the overview of my project and the motivation to do this project, If you have already read part 1 it's time to get started. In this article part2, I will focus on the steps and processes to build an image classification model. This dataset has 3017 images of 16 different mushrooms, and they also classify those 16 mushrooms as edible and Not edible. Since I use google collab to train this model, I need to download the data set in my google drive. I use google collab because I can train my model on GPU that was provided by Google.

Pixray is a Python package that was recently released. After each iteration, the VQGAN pictures are optimized to be best recognized by the CLIP model. This means that the AI believes that the image created is the best match to your input phrase. The code of this article can be found on google collab. Running AI models can be quite resource intensive so using google collab (with their free GPUs) is advised.

When working with AI, it's important to know how to import data sets, read through tables, and understand what the structure is. Welcome to the "Product developer's guide to getting started with AI". In this series, we'll go over key concepts and run through examples using Pandas. First, we will cover setting up your development environment and learning how to inspect your data. Then, you'll be ready to tackle the more exciting parts of AI throughout this series.

Introduction to Machine Learning:- What is Machine Learning?,

Introduction to Machine Learning:- What is Machine Learning?,