[FCSNEW.NET] Udemy - Practical Deep Learning Master PyTorch in 15 Days

11. Day 13 & 14 Transfer Learning with ResNet for Tire Quality Prediction/2. good.zip

11. Day 13 & 14 Transfer Learning with ResNet for Tire Quality Prediction/2. defective.zip

11. Day 13 & 14 Transfer Learning with ResNet for Tire Quality Prediction/13. Part 4 Evaluating Model Performance and Addressing Overfitting.mp4

09. Day 9 & 10 Neural Network for Multi-Class Classification Handwritten Digits/20. Demonstrating Overfitting in Neural Network Training.mp4

04. Day 3 & 4 Single Neuron Regression Predicting Used Car Prices with PyTorch/6. Investigating Key Data Relationships for Model Training.mp4

11. Day 13 & 14 Transfer Learning with ResNet for Tire Quality Prediction/19. Using the Trained Model to Predict Tire Quality.mp4

11. Day 13 & 14 Transfer Learning with ResNet for Tire Quality Prediction/5. Using ResNet-50 to Classify an Image of a Cat.mp4

10. Day 11 & 12 Convolutional Networks Fashion Item Classification (multi-class)/28. Optional extra Application of Overfitting Detection and Model Finalization.mp4

05. Day 5 & 6 Neuron Classifier Spam Detection in SMS/12. Evaluating Model with Key Performance Metrics.mp4

04. Day 3 & 4 Single Neuron Regression Predicting Used Car Prices with PyTorch/5. Exploring the Used Car Dataset with Pandas.mp4

05. Day 5 & 6 Neuron Classifier Spam Detection in SMS/15. Implementing Training and Validation Data Splits in Python.mp4

11. Day 13 & 14 Transfer Learning with ResNet for Tire Quality Prediction/16. Integrating Data Augmentation into Model Training for Improved Accuracy.mp4

09. Day 9 & 10 Neural Network for Multi-Class Classification Handwritten Digits/23. Optional extra Applying a Neural Network to Custom Images.mp4

03. Day 2 Neuron Training From Adjusting Parameters to Batch Learning/8. Training a Neuron 1 Preparing and Optimizing.mp4

07. Day 7 & 8 Neural Network Classifier Student Exam Results Prediction/8. Optional Applying a Single Neuron to Student Exam Data.mp4

11. Day 13 & 14 Transfer Learning with ResNet for Tire Quality Prediction/7. Optional extra Exploring the ResNet Research Paper.mp4

07. Day 7 & 8 Neural Network Classifier Student Exam Results Prediction/9. Building and Training Our First Neural Network.mp4

02. Day 1 Foundations of Neural Networks From Models and Neurons to Tensors/14. The dtype of a Tensor.mp4

05. Day 5 & 6 Neuron Classifier Spam Detection in SMS/19. Optional extra Generating Embeddings with BART for Spam Detection.mp4

09. Day 9 & 10 Neural Network for Multi-Class Classification Handwritten Digits/13. Evaluating a Neural Network for Multi-Class Classification.mp4

10. Day 11 & 12 Convolutional Networks Fashion Item Classification (multi-class)/7. Part 1 Implementing a CNN.mp4

04. Day 3 & 4 Single Neuron Regression Predicting Used Car Prices with PyTorch/16. Implementing Input Normalization in PyTorch for Improved Predictions.mp4

08. Day 8 Exercise Loan Approval Classification/4. Solution Part 2 Building and Training the Loan Approval Model.mp4

11. Day 13 & 14 Transfer Learning with ResNet for Tire Quality Prediction/8. Preparing Data for ResNet Training.mp4

05. Day 5 & 6 Neuron Classifier Spam Detection in SMS/3. Using Count Vectorizer to Transform Text into Numerical Data.mp4

09. Day 9 & 10 Neural Network for Multi-Class Classification Handwritten Digits/5. Building a Binary Classifier for 0 Detection.mp4

04. Day 3 & 4 Single Neuron Regression Predicting Used Car Prices with PyTorch/10. Training the Model Initial Setup and Challenges.mp4

07. Day 7 & 8 Neural Network Classifier Student Exam Results Prediction/18. Implementing Mini-Batch Learning for Efficient Training.mp4

05. Day 5 & 6 Neuron Classifier Spam Detection in SMS/2. Exploring and Preprocessing the SMS Spam Dataset.mp4

11. Day 13 & 14 Transfer Learning with ResNet for Tire Quality Prediction/10. Part 2 Building a Transfer Learning Model for Tire Quality Prediction.mp4

09. Day 9 & 10 Neural Network for Multi-Class Classification Handwritten Digits/6. Evaluating the Binary Classifier for 0 Detection.mp4

05. Day 5 & 6 Neuron Classifier Spam Detection in SMS/21. Optional extra Integrating Embeddings into the Spam Filter.mp4

08. Day 8 Exercise Loan Approval Classification/2. Exploring the Loan Approval Dataset.mp4

02. Day 1 Foundations of Neural Networks From Models and Neurons to Tensors/13. Creating a Model.mp4

11. Day 13 & 14 Transfer Learning with ResNet for Tire Quality Prediction/4. An Introduction to ResNet in Transfer Learning.mp4

10. Day 11 & 12 Convolutional Networks Fashion Item Classification (multi-class)/11. Reducing CNN Complexity with Max Pooling.mp4

03. Day 2 Neuron Training From Adjusting Parameters to Batch Learning/13. Batch Learning and Making Predictions with PyTorch.mp4

04. Day 3 & 4 Single Neuron Regression Predicting Used Car Prices with PyTorch/9. Structuring Data for Model Input and Running an Initial Prediction.mp4

04. Day 3 & 4 Single Neuron Regression Predicting Used Car Prices with PyTorch/19. Saving and Loading Model in PyTorch.mp4

09. Day 9 & 10 Neural Network for Multi-Class Classification Handwritten Digits/21. Strategies to Counter Overfitting.mp4

10. Day 11 & 12 Convolutional Networks Fashion Item Classification (multi-class)/20. Day 12 Advancing CNN Complexity.mp4

11. Day 13 & 14 Transfer Learning with ResNet for Tire Quality Prediction/15. Data Augmentation for Combating Overfitting.mp4

11. Day 13 & 14 Transfer Learning with ResNet for Tire Quality Prediction/12. Day 14 Part 3 Training the Transfer Learning Model.mp4

02. Day 1 Foundations of Neural Networks From Models and Neurons to Tensors/2. Installing the necessary tools (Windows).mp4

04. Day 3 & 4 Single Neuron Regression Predicting Used Car Prices with PyTorch/3. Getting Started with Jupyter Interactive Python Programming.mp4

08. Day 8 Exercise Loan Approval Classification/1. Introduction to Loan Approval Prediction.mp4

03. Day 2 Neuron Training From Adjusting Parameters to Batch Learning/6. Understanding Gradient Descent for Neuron Optimization.mp4

12. Day 15 Deploying AI Models with Gradio From Setup to Real-World Predictions/5. Integrating Gradio with PyTorch for Predictions.mp4

08. Day 8 Exercise Loan Approval Classification/3. Solution Part 1 Preparing Data for the Loan Approval Model.mp4

04. Day 3 & 4 Single Neuron Regression Predicting Used Car Prices with PyTorch/18. Experimenting with Training Parameters Through Loss Visualization.mp4