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Practical Transfer Learning ( Deep Learning )in Python

سرفصل های دوره

Don't Be Hero - Next Frontier in Deep Learning Image Classification and Object Detection Problems solution - Keras


1. Introduction
  • 1. Introduction and Course Outline
  • 2.1 flower_photos-500.zip
  • 2.2 path for poet.zip
  • 2.3 tensorflow-for-poets-2-master.zip
  • 2. Do you want to be poet
  • 3.1 One More link for peots.html
  • 3.2 Tensor flow for poets link.html
  • 3. Becoming Poet Part 1
  • 4. Becoming Poet Part 2
  • 5. Becoming Poet Part 3
  • 6. Three main motivation for Transfer Learning
  • 7. Success of Transfer Learning - Andrew Ng
  • 8. Transfer Learning vs Traditional ML and Deep Learning
  • 9. Transfer Learning vs Traditional ML and Deep Learning 2

  • 2. Understanding Transfer Learning
  • 1. Basic Understanding of Transfer Learning
  • 2. Technical Terms of Transfer Learning
  • 3. What , How and When to do Transfer Learning
  • 4. Negative Transfer Learning
  • 5. Inductive Bias
  • 6. Transfer Learning in Deep Learning
  • 7. Types of Transfer Learning in Deep Learning
  • 8. Top-1 and Top-5 Accuracy

  • 3. Google Teachable Machine - Unlimited edge for Transfer Learning
  • 1. Introduction to Teachable Machine
  • 2. Mask Face Classification
  • 3. Indian Rupee Classification
  • 4. Audio Classification - Man in Black
  • 5. Audio Classification - Bell and Clap
  • 6. Pose Classification - Bad Posture
  • 7. Pose Classification - Yoga pose
  • 8. Yoga Pose Testing
  • 9. Tensorflow.js Model Deployment with p5
  • 10. More Internal Deployment
  • 11. Labels and Confidence Detail
  • 12. Android Deployment

  • 4. Worth Reading Articles
  • 1.1 Additional Resources.zip
  • 1. Articles.html

  • 5. Transfer Learning in Python
  • 1. Downloaded Model Location
  • 2. Direct Use of Model
  • 3. Dataset Preparation for Custom Model
  • 4. Making of Custom Model - Last Layer change
  • 5. Fitting of Custom Model - 4 Class Model

  • 6. Monkey Species Classification
  • 1.1 videorecord.zip
  • 1. Model Downloading
  • 2.1 monkeyclassification.zip
  • 2. Existing Models Checking
  • 3. Data Loading -1
  • 4. Data Loading One Hot Encoding
  • 5. Resnet Custom Model
  • 6. Fitting Custom Resnet Model
  • 7. Basic CNN Model on Monkey Dataset
  • 8. Fitting Basic Model
  • 9. Thank you - For the Course

  • 7. (Optional ) 4 Classes Model (Cat , dog, horse, human)
  • 1.1 4class.zip
  • 1. Checking against pre-trained model
  • 2. Dataset Preparation for Custom Model
  • 3. Custom Model
  • 4. Fitting the Model

  • 8. (Optional)Full Demo - DOG CAT Classifier
  • 1.1 Cat Dog Dataset.html
  • 1.2 train.zip
  • 1. Data Preparation-1
  • 2.1 full transfer learning code.docx
  • 2. Image to Numpy Array
  • 3. Label Encoding
  • 4. Basic CNN Model-1
  • 5. CNN Model-2 with Drop out and More layer
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    تاریخ انتشار: 3 اسفند 1401
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