Lesson 2 - Working with Images and Logistic Regression
Deep Learning with PyTorch: Zero to GANs
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Course HomeAssignment 2 - Train Your First ModelLesson 3 - Training Deep Neural Networks on a GPUAssignment 3 - Feed Forward Neural NetworksLesson 4 - Image Classification with Convolutional Neural NetworksLesson 5 - Data Augmentation, Regularization & ResNetsLesson 6: Generative Adversarial Networks and Transfer LearningProject - Train a Deep Learning Model from Scratch
Hindi Version: https://youtu.be/qmzgJvVP9XA
This lesson covers how to work with images from the MNIST dataset, creating training & validation datasets to avoid overfitting, and training a logistic regression model using the softmax activation & the cross-entropy loss. Notebooks used in this lesson:
- Logistic regression: https://jovian.ai/aakashns/03-logistic-regression
- Logistic regression starter: https://jovian.ai/aakashns/mnist-logistic-minimal
- Linear regression starter: https://jovian.ai/aakashns/housing-linear-minimal
Ask questions on the community discussion forum.
aakashns/03-logistic-regression
aakashns/mnist-logistic-minimal
aakashns/housing-linear-minimal
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