07:54

Tensor Processing Units (TPUs) (13.4)

13:26

Using Denoising AutoEncoders (13.1)

06:20

Anomaly Detection (13.2)

03:28

Future of Reinforcement Learning (12.5)

02:32

Atari Games with Stable Baselines Neural Networks (12.4)

05:05

NVIDIA GTC 2024 Jensen Huang Keynote Blackwell Reactions

04:28

NVIDIA GEFORCE GTX 4080 GTX GPU Giveaway for GTC 2024

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Course Overview: Applications of Generative AI (1.1)

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GTC 2024 Top Picks, NVIDIA

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03:14

Stable Baselines Q-Learning (12.3)

08:47

Introduction to Q-Learning (12.2)

09:53

LLM Memory with LangChain (6.3)

13:02

LangChain and Accessing the OpenAI LLM API (6.2)

12:41

Applications of Deep Neural Networks PyTorch Course Overview (1.1, Spring 2024)

08:56

Introduction to Introduction to Gymnasium (12.1)

09:51

Future Directions in Artificial Intelligence (13.5)

04:11

Training a Model in Hugging Face (11.5)

03:17

Hugging Face Data Sets (11.4)

05:27

Hugging Face Tokenizers (11.3)

05:58

Hugging Face Introduction in Python (11.2)

05:00

Introduction to Natural Language Processing and Hugging Face (11.1)

03:52

Predicting with Meta Prophet (10.5)

05:44

Seasonality and Trend (10.4)

07:16

Up to 150x GPU PANDAS Speedup with No Code Changes

06:33

Transformer-Based Time Series with PyTorch (10.3)

13:54

LSTM-Based Time Series with PyTorch (10.2)

06:02

Time Series Data Encoding for Deep Learning, PyTorch (10.1)

09:06

Bayesian Hyperparameter Optimization for PyTorch (8.4)

04:05

How Should you Architect Your PyTorch Neural Network: Hyperparameters (8.3)

10:05

Building Ensembles with Scikit-Learn and PyTorch (8.2)

06:04

Application: Blink Efficiency (9.5)

03:07

Application: Emotion Detection (9.4)

05:06

Reality Augmentation (9.3)

08:55

Detecting Facial Features (9.2)

06:18

Detecting Faces in an Image (9.1)

06:16

Finetuning with Dreambooth (7.5)

09:00

Text to Images with StableDiffusion (7.4)

07:34

Introduction to Kaggle (8.1)

08:49

Install PyTorch for Windows GPU

04:33

GANS to Enhance Old Photographs Deoldify (7.3)

09:11

Generating Faces with StyleGAN3 (7.2)

04:13

Introduction to Generative AI (7.1)

04:05

Prompt Engineering (6.5)

04:37

What are PyTorch Embeddings Layers (6.4)

06:12

Run Alpaca-LoRA in Google Colab (6.3)

06:57

Accessing the ChatGPT API (6.2)

03:15

Detecting Multiple Items in an Image with YOLOv5 (5.5)

03:48

PyTorch Transformations to Augment Image Training Data (5.4)

07:19

Introduction to Transformers (6.1)

04:16

Using PyTorch Pretrained Neural Networks (5.3)

07:55

5 Questions about Dual GPU for Machine Learning (with Exxact dual H100 server)

10:17

PyTorch Convolutional Neural Networks for Machine Learning (5.2)

08:30

Image Processing in Python for Machine Learning (5.1)

04:27

PyTorch Batch Normalization (4.4)

08:53

How to Use Dual NVIDIA H100s with Keras

04:03

PyTorch Dropout Regularization (4.3)

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PyTorch Applications of Deep Neural Networks Course Overview (1.1, Fall 2023)

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PyTorch Learning Rate Schedules (4.2)

07:28

PyTorch K-Fold Cross Validation (4.1)