Maziar Raissi

Neural Machine Translation | Lecture 52 (Part 1) | Applied Deep Learning

R-FCN | Lecture 36 (Part 2) | Applied Deep Learning

Graph Convolutional Networks | Lecture 84 (Part 4) | Applied Deep Learning

XLNet | Lecture 59 (Part 2) | Applied Deep Learning

SpanBERT | Lecture 56 (Part 3) | Applied Deep Learning (Supplementary)

Model-Agnostic Meta-Learning | Lecture 82 (Part 4) | Applied Deep Learning

DeepLabv3 | Lecture 27 (Part 5) | Applied Deep Learning (Supplementary)

Small Networks | Lecture 14 (Part 1) | Applied Deep Learning

Faster R-CNN (Q&A) | Lecture 35 (Part 5) | Applied Deep Learning (Supplementary)

MobileNetV2 | Lecture 19 (Part 3) | Applied Deep Learning

Variational Auto-Encoders | Lecture 64 (Part 1) | Applied Deep Learning

Doc2Vec | Lecture 49 (Part 2) | Applied Deep Learning

Mask R-CNN | Lecture 37 (Part 2) | Applied Deep Learning

Deep Clustering | Lecture 77 (Part 1) | Applied Deep Learning (Supplementary)

Monocular Depth Estimation | Lecture 34 (Part 1) | Applied Deep Learning (Supplementary)

Model-Agnostic Meta-Learning (Continued) | Lecture 83 (Part 1) | Applied Deep Learning

Mel-Spectrogram and MFCCs | Lecture 72 (Part 1) | Applied Deep Learning

Temporal Convolutional Networks | Lecture 52 (Part 3) | Applied Deep Learning (Supplementary)

Wide & Deep Learning | Lecture 81 (Part 3) | Applied Deep Learning (Supplementary)

ResNeXt (Q&A) | Lecture 6 (Part 2) | Applied Deep Learning (Supplementary)

ResNeXt | Lecture 10 (Part 1) | Applied Deep Learning

Single Image Super-Resolution Using GANs | Lecture 68 (Part 2) | Applied Deep Learning

Fully Convolutional Networks | Lecture 29 (Part 3) | Applied Deep Learning

FaceNet | Lecture 39 (Part 2) | Applied Deep Learning (Supplementary)

XLM-RoBERTa | Lecture 56 (Part 2) | Applied Deep Learning (Supplementary)

Single Image Super-Resolution | Lecture 33 (Part 3) | Applied Deep Learning

StackGAN | Lecture 61 (Part 2) | Applied Deep Learning (Supplementary)

YOLOv4 | Lecture 38 (Part 1) | Applied Deep Learning (Supplementary)

ShuffleNet (Q&A) | Lecture 13 (Part 5) | Applied Deep Learning (Supplementary)

beta-VAE | Lecture 62 (Part 3) | Applied Deep Learning (Supplementary)

Recursive Deep Models | Lecture 48 (Part 1) | Applied Deep Learning

ShuffleNet V2 | Lecture 13 (Part 6) | Applied Deep Learning (Supplementary)

Visualizing & Understanding CNNs (Q&A) | Lecture 20 (Part 1) | Applied Deep Learning (Supplementary)

Google’s Neural Machine Translation System | Lecture 55 (Part 1) | Applied Deep Learning

LIME | Lecture 26 (Part 1) | Applied Deep Learning

DeepLab (Continued) | Lecture 31 (Part 1) | Applied Deep Learning

Sequence to Sequence Learning | Lecture 52 (Part 2) | Applied Deep Learning

GPT-2 | Lecture 58 (Part 2) | Applied Deep Learning

Image Style Transfer | Lecture 29 (Part 3) | Applied Deep Learning (Supplementary)

LINE | Lecture 84 (Part 2) | Applied Deep Learning

Neural Factorization Machines | Lecture 82 (Part 1) | Applied Deep Learning (Supplementary)

Group Normalization | Lecture 42 (Part 2) | Applied Deep Learning