Image Embeddings
Antonio Rueda-Toicen
Image Embeddings
17:09
Building a Feedforward Network for Classification in PyTorch
Antonio Rueda-Toicen
Building a Feedforward Network for Classification in PyTorch
32:52
Introduction to Neural Networks
Antonio Rueda-Toicen
Introduction to Neural Networks
15:07
Image Generation with Diffusion Models
Antonio Rueda-Toicen
Image Generation with Diffusion Models
10:34
Deep Learning Approaches to Image Segmentation
Antonio Rueda-Toicen
Deep Learning Approaches to Image Segmentation
10:34
Approaches to Object Detection
Antonio Rueda-Toicen
Approaches to Object Detection
16:26
Contrastive Language-Image Pretraining (CLIP)
Antonio Rueda-Toicen
Contrastive Language-Image Pretraining (CLIP)
15:08
Vision Transformers
Antonio Rueda-Toicen
Vision Transformers
17:26
Transfer Learning and Fine-tuning Pretrained Models
Antonio Rueda-Toicen
Transfer Learning and Fine-tuning Pretrained Models
12:38
Image Data Augmentation
Antonio Rueda-Toicen
Image Data Augmentation
16:16
Interpretability with Class Activation Mapping
Antonio Rueda-Toicen
Interpretability with Class Activation Mapping
10:43
Usage of Binary Cross Entropy Loss
Antonio Rueda-Toicen
Usage of Binary Cross Entropy Loss
11:46
Regularization with Dropout and Batch Normalization
Antonio Rueda-Toicen
Regularization with Dropout and Batch Normalization
15:36
Skip Connections in Neural Networks
Antonio Rueda-Toicen
Skip Connections in Neural Networks
10:01
Normalizing Input and Inference with Pretrained Models
Antonio Rueda-Toicen
Normalizing Input and Inference with Pretrained Models
10:57
Upsampling and Channel Mixing with Convolutions
Antonio Rueda-Toicen
Upsampling and Channel Mixing with Convolutions
8:23
Pooling in Neural Networks
Antonio Rueda-Toicen
Pooling in Neural Networks
6:10
Fundamentals of Convolutions
Antonio Rueda-Toicen
Fundamentals of Convolutions
11:40
PyTorch's Dataset and DataLoader
Antonio Rueda-Toicen
PyTorch's Dataset and DataLoader
9:23
Metrics for Classification and Experiment Tracking
Antonio Rueda-Toicen
Metrics for Classification and Experiment Tracking
23:08
Matrix Multiplication and Activation Functions
Antonio Rueda-Toicen
Matrix Multiplication and Activation Functions
17:01
Building an MLP for Image-based Regression in PyTorch
Antonio Rueda-Toicen
Building an MLP for Image-based Regression in PyTorch
33:24
Image Tensors in PyTorch
Antonio Rueda-Toicen
Image Tensors in PyTorch
22:44
Digital Images in PIL and NumPy
Antonio Rueda-Toicen
Digital Images in PIL and NumPy
13:50
Common Tasks in Computer Vision
Antonio Rueda-Toicen
Common Tasks in Computer Vision
9:06
Antonio Rueda Toicen Live Stream
Antonio Rueda-Toicen
Antonio Rueda Toicen Live Stream
MedRegistryChain - Bluecode 2018 - Demo
Antonio Rueda-Toicen
MedRegistryChain - Bluecode 2018 - Demo
0:37
MedRegistryChain - The Chain - Bluecode Challenge 2018
Antonio Rueda-Toicen
MedRegistryChain - The Chain - Bluecode Challenge 2018
2:24
Algorithmic Information Dynamics MOOC - intro video
Antonio Rueda-Toicen
Algorithmic Information Dynamics MOOC - intro video
4:25