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Description

Unlock the Power of Data: Master SQL, Databases & Deep Learning in Just 8 Hours!

Are you interested in unlocking the full potential of Artificial Intelligence? Do you want to learn how to create powerful image recognition systems that can accurately identify objects? If so, then this course on Deep Learning with Python for Image Classification is just what you need! In this course, you will learn Deep Learning with Python and PyTorch for Image Classification using Pre-trained Models and Transfer Learning. Image Classification is a computer vision task to recognize an input image and predict a single-label or multi-label for the image as output using Machine Learning techniques.

Access 25 lectures & 2 hours of content 24/7

Use Google Colab notebooks for writing the Python code for image classification using Deep Learning models

Learn how to connect Google Colab with Google Drive & how to access data

Perform data preprocessing using different transformations such as image resize & center crop etc.

Perform two types of Image Classification, single-label & multi-label classifications using deep learning models with Python

Learn Transfer Learning techniques

Transfer Learning by FineTuning the model

Transfer Learning by using the Model as Fixed Feature Extractor

Learn how to perform Data Augmentation

Load Dataset, Dataloaders

Learn to fine-tune the Deep Resnet Model

Use the Deep Resnet Model as Fixed Feature Extractor

Learn HyperParameters Optimization & results visualization
SpecsImportant Details

Length of time users can access this course: lifetime
Access options: desktop & mobile
Redemption deadline: redeem your code within 30 days of purchase
Experience level required: beginner

Certificate of Completion ONLY

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Requirements

Any device with basic specifications

A Google Gmail account to get started with Google Colab to write Python Code

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