The SQL & Database Certification Training Bundle

4 Courses & 9.5 Hours
Deal Price$25.00
Suggested Price
$300.00
You save 91%

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

  • Section 1 - Introduction to the Course

  • Section 2 - Define Image Classification

  • Section 3 - Pretrained Models Definition

  • Section 4 - Deep Learning Architectures for Image Classification

  • Section 5 - Google Colab for Writing Python Code

  • Section 6 - Connect Google Colab with Google Drive

  • Section 7 - Access Data from Google Drive to Colab

  • Section 8 - Data Preprocessing for Image Classification

  • Section 9 - Single-Label Image Classification using Deep Learning Models

  • Section 10 - Multi-Label Image Classification using Deep Learning Models

  • Section 11- Transfer Learning

  • Section 12- Link Google Drive with Google Colab

  • Section 13 - Dataset, Data Augmentation, Dataloaders, and Training Function

  • Section 14 - Deep ResNet Model FineTuning

  • Section 15 - Model Optimization

  • Section 16 -Deep ResNet Training

  • Section 17 - Deep ResNet Feature Extractor

  • Section 18 - Model Optimization, Training and Results

  • Section 19 - Resources Code for Transfer Learning by FineTuning and Model Feature Extractor

Deep Learning with Python for Image Classification

MH
Mazhar HussainMazhar 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

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
    1. Transfer Learning by FineTuning 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 here

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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