STEP BY STEP GUIDE
This article will guide you through all the steps required for object recognition model training, from collecting images for the model to testing the model!
In this tutorial, we will use Google Colab (for model training) and Google Drive (for storage).
Colab is a free Jupyter NoteBook environment hosted by Google that runs on the cloud. Google Colab provides free access to GPUs (Graphical Processing Units) and TPUs (Tensor Processing Units).
You can read more about Google Colab on their Intro and FAQ page.
NOTE:
Sessions on Google Colab are 12 hours long. After 12 hours everything on Colab storage is wiped out (Notebooks will also disconnect from Virtual Machines if they are left idle for too long). …
STEP BY STEP GUIDE
This article will guide you through all the steps required for Machine Learning Model Training, from data preprocessing to model evaluation!
Machine Learning is teaching a computer to make predictions (on new unseen data) using the data it has seen in the past. Machine Learning involves building a model based on training data, to make predictions on other unseen data.
Some applications of machine learning: Recommendation system (for example, recommending new movies to a user based on movies he has seen and liked), Stock Market (predicting trends of stocks), Virtual Personal Assistants, etc.
Machine learning is generally split into three categories: Supervised Learning, Unsupervised Learning, and Reinforcement Learning.
This tutorial will focus on training a machine learning model using Supervised Learning.
In supervised…
Nisarg Kapkar
Data Science & Machine Learning Enthusiast | Competitive Programmer | Web Developer. Contact: https://www.linkedin.com/in/nisarg-kapkar/
