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Jeff Heaton
2023 PyTorch Version Applications of Deep Neural Networks (Washington University)
31,427 views
67 items
Last updated on Mar 2, 2024
public playlist
Jeff Heaton
12:41
Applications of Deep Neural Networks PyTorch Course Overview (1.1, Spring 2024)
Jeff Heaton
7:09
Introduction to Python for PyTorch Deep Learning (1.2)
Jeff Heaton
10:20
Python Lists, Dictionaries, Sets & JSON for PyTorch (1.3)
Jeff Heaton
8:16
Python File Handling for PyTorch (1.4)
Jeff Heaton
7:19
Python Functions, Lambdas, and Map/Reduce (1.5)
Jeff Heaton
9:44
How to Install PyTorch GPU for Mac M1/M2 with Conda
Jeff Heaton
14:26
Introduction to Pandas for PyTorch Deep Learning (2.1)
Jeff Heaton
13:14
Encoding Categorical Values in Pandas for PyTorch (2.2)
Jeff Heaton
4:51
Grouping, Sorting, and Shuffling in Python Pandas for PyTorch (2.3)
Jeff Heaton
8:28
Using Apply and Map in Pandas for PyTorch (2.4)
Jeff Heaton
6:03
Feature Engineering in Pandas for Deep Learning in PyTorch (2.5)
Jeff Heaton
12:49
Deep Learning and Neural Network Introduction with PyTorch (3.1)
Jeff Heaton
11:35
Introduction to PyTorch for Deep Learning with Python (3.2)
Jeff Heaton
4:55
Encoding a Feature Vector for PyTorch Deep Learning (3.3)
Jeff Heaton
7:03
PyTorch Early Stopping and Model Persistence (3.4)
Jeff Heaton
3:44
PyTorch Network Definition Class or Sequence? (3.5)
Jeff Heaton
7:28
PyTorch K-Fold Cross Validation (4.1)
Jeff Heaton
8:08
PyTorch Learning Rate Schedules (4.2)
Jeff Heaton
4:03
PyTorch Dropout Regularization (4.3)
Jeff Heaton
4:27
PyTorch Batch Normalization (4.4)
Jeff Heaton
5:34
RAPIDS for End-to-End GPU Processing in Machine Learning (4.5)
Jeff Heaton
10:17
PyTorch Convolutional Neural Networks for Machine Learning (5.2)
Jeff Heaton
8:30
Image Processing in Python for Machine Learning (5.1)
Jeff Heaton
4:16
Using PyTorch Pretrained Neural Networks (5.3)
Jeff Heaton
3:48
PyTorch Transformations to Augment Image Training Data (5.4)
Jeff Heaton
3:15
Detecting Multiple Items in an Image with YOLOv5 (5.5)
Jeff Heaton
7:19
Introduction to Transformers (6.1)
Jeff Heaton
13:02
LangChain and Accessing the OpenAI LLM API (6.2)
Jeff Heaton
9:53
LLM Memory with LangChain (6.3)
Jeff Heaton
4:37
What are PyTorch Embeddings Layers (6.4)
Jeff Heaton
4:05
Prompt Engineering (6.5)
Jeff Heaton
4:13
Introduction to Generative AI (7.1)
Jeff Heaton
9:11
Generating Faces with StyleGAN3 (7.2)
Jeff Heaton
4:33
GANS to Enhance Old Photographs Deoldify (7.3)
Jeff Heaton
9:00
Text to Images with StableDiffusion (7.4)
Jeff Heaton
6:16
Finetuning with Dreambooth (7.5)
Jeff Heaton
7:34
Introduction to Kaggle (8.1)
Jeff Heaton
10:05
Building Ensembles with Scikit-Learn and PyTorch (8.2)
Jeff Heaton
4:05
How Should you Architect Your PyTorch Neural Network: Hyperparameters (8.3)
Jeff Heaton
9:06
Bayesian Hyperparameter Optimization for PyTorch (8.4)
Jeff Heaton
8:49
Install PyTorch for Windows GPU
Jeff Heaton
6:18
Detecting Faces in an Image (9.1)
Jeff Heaton
8:55
Detecting Facial Features (9.2)
Jeff Heaton
5:06
Reality Augmentation (9.3)
Jeff Heaton
3:07
Application: Emotion Detection (9.4)
Jeff Heaton
6:04
Application: Blink Efficiency (9.5)
Jeff Heaton
6:02
Time Series Data Encoding for Deep Learning, PyTorch (10.1)
Jeff Heaton
13:54
LSTM-Based Time Series with PyTorch (10.2)
Jeff Heaton
6:33
Transformer-Based Time Series with PyTorch (10.3)
Jeff Heaton
5:44
Seasonality and Trend (10.4)
Jeff Heaton
3:52
Predicting with Meta Prophet (10.5)
Jeff Heaton
5:00
Introduction to Natural Language Processing and Hugging Face (11.1)
Jeff Heaton
5:58
Hugging Face Introduction in Python (11.2)
Jeff Heaton
5:27
Hugging Face Tokenizers (11.3)
Jeff Heaton
3:17
Hugging Face Data Sets (11.4)
Jeff Heaton
4:11
Training a Model in Hugging Face (11.5)
Jeff Heaton
8:56
Introduction to Introduction to Gymnasium (12.1)
Jeff Heaton
8:47
Introduction to Q-Learning (12.2)
Jeff Heaton
3:14
Stable Baselines Q-Learning (12.3)
Jeff Heaton
2:32
Atari Games with Stable Baselines Neural Networks (12.4)
Jeff Heaton
3:28
Future of Reinforcement Learning (12.5)
Jeff Heaton
13:26
Using Denoising AutoEncoders (13.1)
Jeff Heaton
6:20
Anomaly Detection (13.2)
Jeff Heaton
13:42
Model Drift and Retraining (13.3)
Jeff Heaton
7:54
Tensor Processing Units (TPUs) (13.4)
Jeff Heaton
9:51
Future Directions in Artificial Intelligence (13.5)
PeaceSaginaw
1:37:11
Lutheran High School South Band Concert _Friday_March 1st, 2024_Peace Lutheran_Saginaw, Michigan