The SQL & Database Certification Training Bundle

4 Courses & 9.5 Hours
Deal Price$25.00
Suggested Price
$300.00
You save 91%
The SQL & Database Certification Training Bundle
$25.00$300.0091% OFF

What's Included

  • Experience level required: Beginner
  • Access 25 lectures & 2 hours of content 24/7
  • Length of time users can access this course: Lifetime

Course Curriculum

25 Lessons (2h)

  • Your First Program

  • Introduction to the Course2:22
  • Image Classification with single label and multi-label2:59
  • PreTrained Models and their Applications5:11
  • Deep Learning ResNet and AlexNet Architectures for Image Classification4:58
  • Set-up Google Colab for Writing Python Code5:11
  • Connect Google Colab with Google Drive to Read and Write Data2:43
  • Read Data from Google Drive to Colab Notebook2:44
  • Lecture 1 - Perform Data Preprocessing for Image Classification5:00
  • Single-Label Image Classification using ResNet and AlexNet PreTrained Models8:03
    Resources Single_Label Classification (Python Code)
  • Lecture 2 - Resources Multi_Label Classification
    Multi-Label Image Classification using ResNet and AlexNet PreTrained Models6:21
  • Introduction to Transfer Learning6:10
  • Link Google Drive with Google Colab2:43
  • Dataset, Data Augmentation, Dataloaders, and Training Function7:20
  • Deep ResNet Model FineTuning7:19
  • ResNet Model HyperParameteres Optimization6:22
  • Deep ResNet Model Training3:34
  • Deep ResNet as Fixed Feature Extractor4:42
  • Model Optimization, Training and Results Visualization5:51
  • Code of Classification using Transfer Learning1:41
    Code for Transfer Learning by FineTuning and Model Feature ExtractorSTART
    Classification Dataset

Deep Learning with Python for Image Classification

MH
Mazhar Hussain

Mazhar Hussain | CS Lecturer | Deep Learning , AI, CV & Data Engineer

4.2/5 Instructor Rating: ★ ★ ★ ★ ★ ★


Mazhar Hussain is currently in the role of Deep Learning and Computer Vision Engineer. He has over a decade of teaching experience at the University Higher Education level and Online. He has published several research papers on Deep Learning in well-reputed Journals and Conferences. He believes in comprehensive practical training with stunning support for his students where all his courses are 100% hands-on with step-by-step problem-based learning, demos, and examples.

Mazhar Hussain has been teaching Computer Science courses at the National University of Computer and Emerging Sciences and Online for a decade. He has been teaching courses in:

  • Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Deep Learning (DL)
  • Computer Vision (CV)
  • Data Science (DS)
  • Programming (Python, C++, Java)
  • Databases especially in SQL SERVER, MYSQL, ORACLE, and MS ACCESS

Description

Learn Deep Learning, Machine Learning & Computer Vision for Image Classification in PyTorch Using CNN Transfer Learning

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.

What you'll learn

  • 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
    1. Transfer Learning by Fine-Tuning the model
    2. 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

Specs

Important 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
  • Have questions on how digital purchases work? Learn more about digital products


Requirements

  • Any device with basic specifications
  • A Google Gmail account to get started with Google Colab to write Python Code

Terms

  • Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.
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