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Pytorch Seq2Seq Tutorial for Machine Translation
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Classroom Contents
PyTorch Tutorials - Complete Deep Learning Course from Basics to Advanced Applications
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- 1 Pytorch Tutorial - Setting up a Deep Learning Environment (Anaconda & PyCharm)
- 2 Complete Pytorch Tensor Tutorial (Initializing Tensors, Math, Indexing, Reshaping)
- 3 Pytorch Neural Network example
- 4 Pytorch CNN example (Convolutional Neural Network)
- 5 Pytorch RNN example (Recurrent Neural Network)
- 6 Pytorch Bidirectional LSTM example
- 7 How to save and load models in Pytorch
- 8 Pytorch Transfer Learning and Fine Tuning Tutorial
- 9 How to build custom Datasets for Images in Pytorch
- 10 How to build custom Datasets for Text in Pytorch
- 11 Pytorch Data Augmentation using Torchvision
- 12 Albumentations Tutorial for Data Augmentation (Pytorch focused)
- 13 How to deal with Imbalanced Datasets in PyTorch - Weighted Random Sampler Tutorial
- 14 PYTORCH COMMON MISTAKES - How To Save Time 🕒
- 15 Pytorch TensorBoard Tutorial
- 16 Pytorch LeNet implementation from scratch
- 17 Pytorch VGG implementation from scratch
- 18 Pytorch GoogLeNet / InceptionNet implementation from scratch
- 19 Pytorch ResNet implementation from Scratch
- 20 EfficientNet from scratch in Pytorch
- 21 Pytorch Image Captioning Tutorial
- 22 Pytorch Neural Style Transfer Tutorial
- 23 An Introduction to Generative Adversarial Networks (GANs)
- 24 Building our first simple GAN
- 25 DCGAN implementation from scratch
- 26 WGAN implementation from scratch (with gradient penalty)
- 27 Pytorch Conditional GAN Tutorial
- 28 Pix2Pix implementation from scratch
- 29 CycleGAN implementation from scratch
- 30 ProGAN implementation from scratch
- 31 SRGAN implementation from scratch
- 32 ESRGAN implementation from scratch
- 33 Pytorch Text Generator with character level LSTM
- 34 Pytorch Torchtext Tutorial 1: Custom Datasets and loading JSON/CSV/TSV files
- 35 Pytorch Torchtext Tutorial 2: Built in Datasets with Example
- 36 Pytorch Torchtext Tutorial 3: From Textfiles to Dataset
- 37 Einsum Is All You Need: NumPy, PyTorch and TensorFlow
- 38 Pytorch Seq2Seq Tutorial for Machine Translation
- 39 Pytorch Seq2Seq with Attention for Machine Translation
- 40 Pytorch Transformers from Scratch (Attention is all you need)
- 41 Pytorch Transformers for Machine Translation
- 42 PyTorch Image Segmentation Tutorial with U-NET: everything from scratch baby
- 43 Introduction to Object Detection in Deep Learning
- 44 Intersection over Union Explained and PyTorch Implementation
- 45 Non Max Suppression Explained and PyTorch Implementation
- 46 Mean Average Precision (mAP) Explained and PyTorch Implementation
- 47 YOLOv1 from Scratch
- 48 YOLOv3 from Scratch
- 49 PyTorch Quick Tip: Mixed Precision Training (FP16)
- 50 PyTorch Quick Tip: How to get a Progress Bar
- 51 Pytorch Quick Tip: Reproducible Results and Deterministic Behavior
- 52 Pytorch Quick Tip: Calculate Mean and Standard Deviation of Data
- 53 Pytorch Quick Tip: Weight Initialization
- 54 Pytorch Quick Tip: Using a Learning Rate Scheduler
