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9:09
5 Steps to Install PyTorch 2.0 and Tensorflow 2.12 on Ubuntu 22.04 with CUDA and cuDNN
25:48
Deploy Machine Learning Model to AWS Lambda using Docker and FastAPI
15:41
P3 Convert NLP/ML script to EXE format using PyInstaller
7:05
P2. Machine learning model inference for deployment
17:39
P1. Train machine learning model for deployment
8:27
Single video inference | PyTorch video End2End classification Pipeline Part 7
3:39
Pytorch Video classification tutorial 3D CNN model part 6/6
7:58
Train PyTorch 3D CNN video classification model part 5/6
7:41
Train Pytorch Video Classification end2end 3D CNN model part 4/6
8:35
Define Pre-trained 3D CNN | Video Classification part3/6
11:44
Data loader and augmentation| 3D CNN video classification (Part 2/6)
11:34
Video classification using 3DCNN deep learning | End2End approach P1
23:29
Stress Detection by Machine Learning and Wearable PPG sensors | Python Tutorial
21:39
Epilepsy classification using Welch power spectral density (Complete EEG tutorial)
22:18
Connect domain and SSL to Django app on EC2 using Route53 and ELB | Django AWS deployment part 6
12:21
Deploy Django on EC2 using Docker compose and GIT | Django AWS deployment part 5
13:03
Connect Django with AWS RDS PostgreSQL | Django AWS deployment part 4
17:13
Django deployment using Nginx and docker compose | Django AWS deployment part 3
12:24
Run Django server using gunicorn on docker | Django AWS deployment part 2
23:34
Deploy Django website on AWS EC2 server with a custom domain | Django AWS deployment part 1
19:39
S1P4. Binary Classification (COVID vs NonCovid), PyTorch Lightning Module training (last part)
8:47
P3. Train a pre-trained ResNet model - EEG classification
8:29
P2. Convert signal to image - EEG classification ResNet (deep learning)
13:50
P1. Read CSV data - EEG classification ResNet (deep learning)
19:19
4.0 Read Motor Imagery EEG Signal in python (BCI Competition IV 2a)
9:43
S1P3. Binary Classification (COVID vs NonCovid), PyTorch Lightning Module explained step by step
7:21
S1P2. Binary classification with augmentation and pre-trained model
17:49
S1P1. Binary classification ( COVID classification via CT scan) using PyTorch Lightning
7:02
Intro to Medical Image Deep learning competitions using PyTorch Lightning series
11:27
3.8 EEG paper ChronoNet Keras implementation
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