TensorFlow Bootcamp

Learn how Neural Networks, Multi-Layer Perceptron and Convolutional Neural Networks are used for Image Classification and Segmentation, and train your own CNN model on a custom dataset. All this, in just 3 hours!

Course Code
TFBC

Type
Beginner

Available in
Python

Price
Free

Enroll for Free

Name

fullnumber

What best describes you?

Which of these are you most comfortable with:

What do you wish to achieve by taking this course?

Acceptance

By clicking this, you confirm your acceptance of our Terms & Conditions and Privacy Policy.

Official OpenCV Certification
10 Modules
Videos
Quizzes
3Hrs Content
Colab Notebooks

What's covered in this course?

Getting Started with Neural Networks
Take your first baby steps into deep learning
Fundamentals of Training a Neural Network
Deep learning isn’t magic – science behind how models learn.
Modeling Linear Regression
Train a simple linear regression model to learn patterns in data.
MNIST Digit Classification using MLP
Train an MLP model to recognize handwritten digits
CNN Fundamentals
Understand how CNNs learn features like edges, textures
CIFAR-10 Classification using CNN
Build a model that classifies real-world objects
Image Classification using Pre-Trained ImageNet Models
Use pre-trained models to classify images with minimal effort.
Transfer Learning and Fine-tuning
Supercharge your models by adapting existing knowledge to new tasks.
Introduction to Semantic Segmentation
Go beyond classification—label every pixel to understand entire scenes.
Introduction to Object Detection
Not just what is in an image, but where—detect multiple objects at once.