Fruits Recognition using CNN Model

Projects In this Project Course you will learn how to solve a complicated Image Classification Task with Multiple Classes using various Deep Learning Architectures and Compare the Result.

What will you learn?

  • You will learn how to Work on Collaboratory Notebooks.
  • You will learn to use Dropbox for using Large Datasets.
  • You will learn to Import Image Datasets into Colab.
  • You will learn about glob library for importing Image Datasets.
  • You will learn to use Tensorflow for Image Classification Tasks.
  • You will learn to explore Images from different sets of Image Data.
  • You will learn about Deep Neural Networks.
  • You will learn about different CNN Architectures.
  • You will learn about Model Checkpoints.
  • You will learn to train a Deep Learning Model.
  • You will learn to Save a Trained Model.
  • You will learn to check Model’s Accuracy.
  • You will learn some Advanced Tricks to Improve the Model.
  • You will analyze the key Findings and Insights to implicate Business Impact.

Who is this Course for?

Fruits Recognition using CNN Model

Course Requirements

  • Python Installed in your System.
  • Jupyter Notebook Installed in your Systems.
  • Tensorflow 2.0 Installed in your Systems.
  • You should have completed the “Python Fundamentals” Course.
  • You should have completed the “Python for Data Science” Course.
  • You should have completed the “Machine Learning” Course.
  • You should have a Basic Understanding of Tensorflow.
  • Familiarity of working with Image Datasets
  • Familiarity with Basics of Image Processing.
  • Understanding of CNN Architectures.







Course Curriculum

Section 1
Fruits Recognition using CNN Model
Fruits Recognition using CNN Model

Every Course Comes with…


Every Projects comes with 2-3 hours of video lessons giving you step-by-step solution with explanation of the entire project


You will get the entire project workbooks, datasets, and other resources with it


Build your Project Portfolio by adding these projects to your Online Profiles like GitHub, LinkedIn, Kaggle etc

I was amazed by how much I was able to gain in such a short amount of time.
The #1 thing I got from the course was the confidence to complete complicated projects.

Now I am also a believer in Projects over Degrees
Prashant Singh
Vice President, PayTM
I was very sceptical that I can complete a course Online, but thankfully DataisGood proved me wrong.

They helped me chose the right path, the right projects and gave me the right guidance.
DataisGood has changed my life.
Sourav Kumar
Sr. Data Analyst, TCS

Your Rock-Solid Money Back Guarantee 

Our Guarantee is simple.
If you are not 100% satisfied.


We insist you take your money back.


Just sent one email (with the Order Id and same email you used to make the purchase, within 7 days of your purchase) to us at [email protected]


If you contact us for a refund, we’ll issue it promptly and courteously. We’ll even bear the processing fees at our end.


There is no RISK on your part. Zero, Nada, Nil…

Our learners work at


We are on a mission to create Data Science courses that will make our students not just learn the subject, but fall in ❤️ love with that subject so that they become lifelong passionate learners and explorers of that subject.

Office Location

All rights reserved. © 2019-21. || Email: [email protected] || Phone: +91 88649 50180
Data is Good, B-33, 1st Floor, Sector 6, Noida – 201301
Terms | Privacy

Call us on +91 88649 50180

  (Nancy Bajaj, Senior Admission Councellor)