Deep Learning

43 lessons View examples

Deep Learning Study Guide

00_Overview.md

01. Tensors and Autograd

01_Tensors_and_Autograd.md

02. Neural Network Basics

02_Neural_Network_Basics.md

03. Understanding Backpropagation

03_Backpropagation.md

04. Training Techniques

04_Training_Techniques.md

05. Linear & Logistic Regression

05_Impl_Linear_Logistic.md

06. Multi-Layer Perceptron (MLP)

06_Impl_MLP.md

07. CNN Basics (Convolutional Neural Networks)

07_CNN_Basics.md

08. Advanced CNN - Famous Architectures

08_CNN_Advanced.md

09. Transfer Learning

09_Transfer_Learning.md

10. CNN (LeNet)

10_Impl_CNN_LeNet.md

11. VGG

11_Impl_VGG.md

12. ResNet

12_Impl_ResNet.md

13. RNN Basics (Recurrent Neural Networks)

13_RNN_Basics.md

14. LSTM and GRU

14_LSTM_GRU.md

15. LSTM / GRU

15_Impl_LSTM_GRU.md

16. Attention and Transformer

16_Attention_Transformer.md

17. Attention Mechanism Deep Dive

17_Attention_Deep_Dive.md

18. Transformer

18_Impl_Transformer.md

19. BERT

19_Impl_BERT.md

20. GPT

20_Impl_GPT.md

21. Vision Transformer (ViT)

21_Vision_Transformer.md

22. Vision Transformer (ViT)

22_Impl_ViT.md

23. Training Optimization

23_Training_Optimization.md

24. Loss Functions

24_Loss_Functions.md

25. Optimizers

25_Optimizers.md

26. Normalization Layers

26_Normalization_Layers.md

27. TensorBoard Visualization

27_TensorBoard.md

28. Generative Models - GAN (Generative Adversarial Networks)

28_Generative_Models_GAN.md

29. Generative Adversarial Networks (GAN)

29_Impl_GAN.md

30. Generative Models - VAE (Variational Autoencoder)

30_Generative_Models_VAE.md

31. Variational Autoencoder (VAE)

31_Impl_VAE.md

32. Diffusion Models

32_Diffusion_Models.md

33. Diffusion Models (DDPM)

33_Impl_Diffusion.md

34. CLIP and Multimodal Learning

34_CLIP_Multimodal.md

35. CLIP (Contrastive Language-Image Pre-training)

35_Impl_CLIP.md

36. Self-Supervised Learning

36_Self_Supervised_Learning.md

37. Modern Deep Learning Architectures

37_Modern_Architectures.md

38. Object Detection

38_Object_Detection.md

39. Practical Image Classification Project

39_Practical_Image_Classification.md

40. Practical Text Classification Project

40_Practical_Text_Classification.md

41. Model Saving and Deployment

41_Model_Saving_Deployment.md

42. Reinforcement Learning Introduction

42_Reinforcement_Learning_Intro.md