11 hours ago
![[Image: 537368816_que-es-udemy-analisis-opiniones.jpg]](https://img100.pixhost.to/images/404/537368816_que-es-udemy-analisis-opiniones.jpg)
14.83 GB | 25min 20s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
1 -Introduction.mp4 (29.98 MB)
2 -who can take this course.mp4 (26.41 MB)
3 -course description and why this course is higly flexible for your needs.mp4 (66.54 MB)
4 -Detection and Tracking.mp4 (9.56 MB)
5 -YOLOP Model for Detect and Segment ONNX Inference.mp4 (19.53 MB)
6 -My Second Course - RAG LLM Practical with Hugging Face, Pytorch, Langchain.mp4 (15.49 MB)
7 -Practice, Practice And Again Practice.mp4 (43.5 MB)
8 -YoloV7 Fast Video Inference Detect and Track.mp4 (15.58 MB)
1 -Installing Docker Cuda Toolkit-Nvidia GPU.mp4 (55.43 MB)
2 -Install, Configure,Validate Tensorflow-GPU Docker Image.mp4 (49.16 MB)
3 -What is Docker and why we need to use Docker Server-Docker Commands Tutorial.mp4 (75.66 MB)
4 -Configuration of Docker Working Directories and DockerFiles.mp4 (66.24 MB)
5 -Organization of Docker files with required packages installations (Part One).mp4 (33.16 MB)
6 -Organization of Docker files with required packages installations (Part Two).mp4 (53.95 MB)
1 -Driver , Kernel and Device Communication.mp4 (95.26 MB)
2 -Deep Learning Frameworks.mp4 (134.49 MB)
3 -Open Neural Network Exchange.mp4 (143.87 MB)
4 -TensorRT - NVIDIA Inference.mp4 (134.74 MB)
5 -TensorRT - NVIDIA Inference Floating Point Precision and AI Sectors.mp4 (178.48 MB)
1 -Docker Configuration for Resnet 18.mp4 (9.61 MB)
2 -Docker Configuration for Resnet 18 (Part 2).mp4 (56.69 MB)
3 -SetUp Visual Studio Code with Docker Container.mp4 (28.72 MB)
4 -Resnet 18 with ONNX.mp4 (44.83 MB)
5 -Resnet 18 Conversion from Onnx to TensorRT (Part 1).mp4 (29.45 MB)
6 -Resnet 18 Conversion from Onnx to TensorRT (Part 2).mp4 (54.17 MB)
7 -Resnet 18 Conversion from Onnx to TensorRT (Part 3).mp4 (40.15 MB)
8 -Resnet 18 Conversion from Onnx to TensorRT (Part 4).mp4 (71.09 MB)
1 -TensorrT Inference (Part 1).mp4 (85.56 MB)
2 -TensorrT Inference 2.mp4 (57.6 MB)
3 -TensorrT Inference 3.mp4 (38.74 MB)
4 -TensorrT Inference 4.mp4 (92.51 MB)
5 -TensorrT Inference 5.mp4 (54.33 MB)
6 -TensorrT Inference 6.mp4 (107.07 MB)
7 -TensorrT Inference 7.mp4 (155.25 MB)
8 -TensorrT Inference-TtrtExec API 8.mp4 (201.44 MB)
1 -YOLOV4 ONNX DNN Inference (Part One).mp4 (209.45 MB)
2 -YOLOV4 ONNX DNN Inference (Part Two).mp4 (35.95 MB)
3 -YOLOV4 ONNX DNN Inference (Part Three).mp4 (94.31 MB)
4 -YOLOV4 ONNX DNN Inference (Part Four).mp4 (114.2 MB)
5 -YOLOV4 ONNX DNN Inference (Part Fifth).mp4 (81.24 MB)
6 -YOLOV4 ONNX DNN Inference (Part Six).mp4 (128.61 MB)
7 -YOLOV4 ONNX DNN Inference (Part Seven).mp4 (101.11 MB)
8 -YOLOV4 ONNX DNN Inference (Part Eight).mp4 (129.34 MB)
1 -Demo Yolov4.mp4 (1.29 MB)
1 -main demo.mp4 (1.39 MB)
1 -Yolov4 Video Inference part 1.mp4 (87.18 MB)
2 -Yolov4 Video Inference part 2.mp4 (108.34 MB)
3 -Yolov4 Video Inference part 3.mp4 (56.88 MB)
4 -Yolov4 Video Inference part 4.mp4 (152.45 MB)
1 -SetUp Workign Directory of yolov5 (2).mp4 (65.6 MB)
10 -Prepare Yolov5 For Inference ( Part 1).mp4 (43.64 MB)
2 -YOLOV4 ONNX DNN Inference (Part Nine).mp4 (152.04 MB)
3 -YOLOv5 Onnx Inference - OpenCV (Part 3).mp4 (47.32 MB)
4 -YOLOv5 Onnx Inference - OpenCV (Part 4).mp4 (82.64 MB)
5 -YOLOv5 Onnx Inference - OpenCV (Part 5).mp4 (57.55 MB)
6 -YOLOv5 Onnx Inference - OpenCV (Part 6).mp4 (104.22 MB)
7 -YOLOv5 Onnx Inference - OpenCV (Part 7).mp4 (158.23 MB)
8 -YOLOv5 Onnx Inference - OpenCV (Part 8).mp4 (99.74 MB)
9 -Yolov5 Onnx Inference (Part 9).mp4 (87.33 MB)
1 -main demo.mp4 (1.39 MB)
1 -TensorRT-yoloV5 Inference (Part 1) && what is OpenCL and OpenGL(their usage).mp4 (148.74 MB)
2 -TensorRT-yoloV5 Inference (Part 2).mp4 (116.68 MB)
3 -TensorRT-yoloV5 Inference (Part 3).mp4 (44.64 MB)
4 -TensorRT-yoloV5 Inference (Part 4).mp4 (76.2 MB)
5 -TensorRT-yoloV5 Inference (Part 5).mp4 (157.98 MB)
6 -TensorRT-yoloV5 Inference (Part 6).mp4 (155.22 MB)
7 -TensorRT-yoloV5 Inference (Part 7).mp4 (168.05 MB)
8 -TensorRT-yoloV5 Inference (Part 8).mp4 (86.71 MB)
9 -TensorRT-yoloV5 Inference (Part 9).mp4 (18.23 MB)
1 -main demo.mp4 (1.39 MB)
1 -yolov5 video inference 1.mp4 (101.65 MB)
2 -yolov5 video inference 2.mp4 (117.17 MB)
3 -yolov5 video inference 3.mp4 (44.18 MB)
4 -yolov5 video inference 4.mp4 (35.41 MB)
5 -yolov5 video inference 5.mp4 (55.96 MB)
6 -yolov5 video inference 6.mp4 (54.45 MB)
7 -yolov5 video inference 7.mp4 (31.19 MB)
8 -yolov5 video inference 8.mp4 (18.23 MB)
1 -TensorRT5-TensorRT8 6 1 Deep Tutorial Implementation Classify-On Google Colab.mp4 (36.82 MB)
2 -TensorRT Precision Covnersion details from FLOAT32-INT8 Part 1.mp4 (44.3 MB)
3 -TensorRT Precision Covnersion details from FLOAT32-INT8 Part 2.mp4 (46.22 MB)
4 -TensorRT Precision Covnersion details from FLOAT32-INT8 Part 3.mp4 (70.21 MB)
1 -How to rate this course.mp4 (28.49 MB)
1 -Single Inheritance Explanation with Python.mp4 (76.57 MB)
2 -Single Inheritance Explanation Part 2 with Python.mp4 (35.5 MB)
3 -Multiple Inheritance part 1 (Without Super).mp4 (44.68 MB)
4 -Multiple Inheritance part 2 (Without Super).mp4 (18.25 MB)
5 -Multiple Inheritance part 3 (With Super).mp4 (79.92 MB)
6 -Multiple Inheritance part 4(with Super Debugging).mp4 (26.07 MB)
1 -Introduction of YOLOVX ersions.mp4 (45.62 MB)
2 -Deep Dive into Yolov5 P6 models.mp4 (118.76 MB)
3 -where and when to use YOLOV5, YOLOV7, YOLOV8.mp4 (56.9 MB)
4 -Usage of YOLOVX version for Robotics and Embedded.mp4 (78.18 MB)
1 -Yolov7 Prerequisites Insallations 1.mp4 (53.48 MB)
2 -Yolov7 Base Class Implementation 1.mp4 (162.65 MB)
3 -Yolov7 Derived Class Implementation 2.mp4 (61.09 MB)
4 -Yolov7 Derived Class Implementation 3.mp4 (58.45 MB)
5 -Yolov7 Derived Class Implementation 4.mp4 (104.99 MB)
6 -Yolov7 Derived Class Implementation 5.mp4 (73.64 MB)
7 -Yolov7 Inference RUN.mp4 (32.78 MB)
1 -Custom Yolov8 Detection and Segmentation on Local GPU , Fast and Accurate ONNX.mp4 (37.94 MB)
2 -Get Familiar with Programming Flow and YoloV8 Preparation and Download.mp4 (100.75 MB)
3 -Yolov8 Single Shot Inference with Raw Model Part 2.mp4 (144.09 MB)
4 -Yolov8 Single Shot Inference with Raw Model Part 3.mp4 (144.06 MB)
5 -Yolov8 Single Shot Inference with Raw Model Part 3.mp4 (103.64 MB)
6 -Yolov8 Single Shot Inference with Raw Model Part 4.mp4 (44.55 MB)
1 -Yolov8 Detect and Segmentation Workflow.mp4 (29.94 MB)
2 -Yolov8 ONNX model Configuration.mp4 (53.8 MB)
3 -Implementation YoloV8 part 1.mp4 (153.54 MB)
4 -Implementation YoloV8 part 2.mp4 (75.99 MB)
5 -Implementation YoloV8 part 3.mp4 (184.92 MB)
6 -Implementation YoloV8 part 4.mp4 (136.23 MB)
7 -Implementation YoloV8 part 5.mp4 (85.78 MB)
1 -Fast Face Detection with Pytorch, Mtcnn, Facenet.mp4 (13.31 MB)
1 -Dive in Pytorch API - Practical Lab.mp4 (68.59 MB)
1 -Transfer Learning Overview.mp4 (58.06 MB)
2 -Why and how tranfer learning is used.mp4 (36.57 MB)
3 -Transfer learning BackBone Vs Architecture.mp4 (25.9 MB)
4 -TransferLearning with Resnet50(ImagineNet).mp4 (30.13 MB)
5 -Transfer Learning Lab 1 for DogvsCat.mp4 (102.25 MB)
6 -Lab2 Multiclass Transfer Learning.mp4 (87.86 MB)
7 -Custom Transfer Learning Bird Boxes.mp4 (50.39 MB)
1 -Segmentation Introduction.mp4 (30.05 MB)
2 -UNET Architecture Explanation.mp4 (35.49 MB)
3 -Create, Train and Validate your Unet from scratch with Tensorflow API.mp4 (38.7 MB)
4 -UNET & Segmentation LAB Part 2.mp4 (45.65 MB)
5 -Develop Unet with TensorFlow API.mp4 (32.82 MB)
1 -Onnx, TensorRT, Docker Tutorial (part 1).mp4 (57.17 MB)
2 -Onnx, TensorRT, Docker Tutorial (part 2).mp4 (60.44 MB)
3 -Onnx, TensorRT, Docker Tutorial (part 3).mp4 (40.54 MB)
4 -Onnx, TensorRT, Docker Tutorial (part 4).mp4 (80.44 MB)
1 -Object Localization with MNIST.mp4 (16.58 MB)
2 -LAB-Object Localization.mp4 (82.94 MB)
1 -CONCEPTS IN COMPUTER VISION.mp4 (76.93 MB)
1 -What DEMO looks like Part One.mp4 (77.04 MB)
2 -What Demo Looks Like Part Two.mp4 (17.18 MB)
1 -DeepLabV3 Plus Backbone.mp4 (31.17 MB)
10 -Visualize Pytorch Dataloader Images.mp4 (101.9 MB)
11 -DeepLabV3 Plus Resnet101 Pytorch Design.mp4 (56.22 MB)
12 -DeepLab3Plus Resnet 101 Training & validation.mp4 (77.54 MB)
13 -Traning Complete.mp4 (44.97 MB)
14 -Launch training for Deeplabv3 Plus with Resnet101 on MRI Images.mp4 (38.07 MB)
15 -FInalize DeepLabv3 Plus Segmentation.mp4 (41.38 MB)
16 -DeepLabV3 Plus Practical implementation.mp4 (101.91 MB)
2 -Dive into DeepLabv3 Backbone.mp4 (99.12 MB)
3 -DeepLabv3 Backbone Explanation.mp4 (54.96 MB)
4 -DeepLaV3 Plus MRI BRAIN Images Segmentation.mp4 (52.77 MB)
5 -MRI Images Managing.mp4 (69.13 MB)
6 -Handling Pair of RGB Images & Mask Images.mp4 (161.22 MB)
7 -MRI Dataloader Code Generation.mp4 (102.17 MB)
8 -Dataloader-Augmentation Challenge.mp4 (34.55 MB)
9 -MRI Dataloader Complete.mp4 (76.65 MB)
1 -Detect Vs Classify Oriented Objects with YOLOv8 Oriented Bounding Boxes.mp4 (29.48 MB)
2 -YOLOV8 Object Oriented Dive into.mp4 (86.08 MB)
3 -Understand Overfitting & Underfitting with Metrics.mp4 (43.81 MB)
4 -Experimental Results.mp4 (19.46 MB)
5 -F1 score, Precision, Recall Metrices.mp4 (99.54 MB)
6 -Confusion Matrix-YoloV8-OBB.mp4 (101.43 MB)
7 -Computer Vision Applied on Instrustrial Applications.mp4 (141.15 MB)
8 -Role of TensorRT on Computer VIsion and on Insdurial Applications.mp4 (158.57 MB)
1 -Demo.mp4 (11.19 MB)
2 -Overview of Demo Project.mp4 (38.91 MB)
1 -what is MidJourney and how to use it.mp4 (37.32 MB)
2 -Demo.mp4 (157.68 MB)
3 -More Creative prompt, more creative Image.mp4 (153.57 MB)
4 -OpenAI & Midjourney Competition.mp4 (98.1 MB)
5 -All Stable Diffusion Models.mp4 (86.58 MB)
6 -Practical Implementation with Stable Diffusion Models.mp4 (95.7 MB)
1 -LLama 3 2 Prototype.mp4 (118.35 MB)
1 -Investigate Semantic Querries Via LOTUS.mp4 (93.67 MB)
1 -OpenAI GPTs Model Part 1.mp4 (13.55 MB)
2 -OpenAI GPTs Model Part 2.mp4 (20.63 MB)
1 -how to install nvidia drivers and set up.mp4 (55.94 MB)
2 -Download Nvidia Driver (Part two).mp4 (6.33 MB)
3 -Verify Installation of Nvdia Driver and Nouveau Driver.mp4 (18.83 MB)
4 -Verify Installation of Nvidia Driver (Part two).mp4 (14.74 MB)
1 -Deep Reinforcement Learning Cart Pole Playing Custom Training and Inference.mp4 (52.66 MB)
2 -Deep Reinforcement Learning LUNAR LANDING Custom Training and Inference.mp4 (48.14 MB)
3 -Deep Reinforcement Learning Frozen Lake Training and Inference.mp4 (72.17 MB)
1 -Docker and Nvidia Stack (Part One).mp4 (20.41 MB)
2 -Docker and Nvidia Gpu Stack (Part two).mp4 (55.88 MB)
3 -Docker and Nvidia Gpu Stack (Part three).mp4 (25.23 MB)
1 -Docker Images Installation and Configuration.mp4 (59.06 MB)
2 -Docker SetUp and Configuration with Sudo on Local Machine.mp4 (16.21 MB)
3 -Setup Docker Successfuly on your local Machine.mp4 (7.25 MB)]
Screenshot
![[Image: tAUNds9S_o.jpg]](https://images2.imgbox.com/e8/c6/tAUNds9S_o.jpg)
1 -Introduction.mp4 (29.98 MB)
2 -who can take this course.mp4 (26.41 MB)
3 -course description and why this course is higly flexible for your needs.mp4 (66.54 MB)
4 -Detection and Tracking.mp4 (9.56 MB)
5 -YOLOP Model for Detect and Segment ONNX Inference.mp4 (19.53 MB)
6 -My Second Course - RAG LLM Practical with Hugging Face, Pytorch, Langchain.mp4 (15.49 MB)
7 -Practice, Practice And Again Practice.mp4 (43.5 MB)
8 -YoloV7 Fast Video Inference Detect and Track.mp4 (15.58 MB)
1 -Installing Docker Cuda Toolkit-Nvidia GPU.mp4 (55.43 MB)
2 -Install, Configure,Validate Tensorflow-GPU Docker Image.mp4 (49.16 MB)
3 -What is Docker and why we need to use Docker Server-Docker Commands Tutorial.mp4 (75.66 MB)
4 -Configuration of Docker Working Directories and DockerFiles.mp4 (66.24 MB)
5 -Organization of Docker files with required packages installations (Part One).mp4 (33.16 MB)
6 -Organization of Docker files with required packages installations (Part Two).mp4 (53.95 MB)
1 -Driver , Kernel and Device Communication.mp4 (95.26 MB)
2 -Deep Learning Frameworks.mp4 (134.49 MB)
3 -Open Neural Network Exchange.mp4 (143.87 MB)
4 -TensorRT - NVIDIA Inference.mp4 (134.74 MB)
5 -TensorRT - NVIDIA Inference Floating Point Precision and AI Sectors.mp4 (178.48 MB)
1 -Docker Configuration for Resnet 18.mp4 (9.61 MB)
2 -Docker Configuration for Resnet 18 (Part 2).mp4 (56.69 MB)
3 -SetUp Visual Studio Code with Docker Container.mp4 (28.72 MB)
4 -Resnet 18 with ONNX.mp4 (44.83 MB)
5 -Resnet 18 Conversion from Onnx to TensorRT (Part 1).mp4 (29.45 MB)
6 -Resnet 18 Conversion from Onnx to TensorRT (Part 2).mp4 (54.17 MB)
7 -Resnet 18 Conversion from Onnx to TensorRT (Part 3).mp4 (40.15 MB)
8 -Resnet 18 Conversion from Onnx to TensorRT (Part 4).mp4 (71.09 MB)
1 -TensorrT Inference (Part 1).mp4 (85.56 MB)
2 -TensorrT Inference 2.mp4 (57.6 MB)
3 -TensorrT Inference 3.mp4 (38.74 MB)
4 -TensorrT Inference 4.mp4 (92.51 MB)
5 -TensorrT Inference 5.mp4 (54.33 MB)
6 -TensorrT Inference 6.mp4 (107.07 MB)
7 -TensorrT Inference 7.mp4 (155.25 MB)
8 -TensorrT Inference-TtrtExec API 8.mp4 (201.44 MB)
1 -YOLOV4 ONNX DNN Inference (Part One).mp4 (209.45 MB)
2 -YOLOV4 ONNX DNN Inference (Part Two).mp4 (35.95 MB)
3 -YOLOV4 ONNX DNN Inference (Part Three).mp4 (94.31 MB)
4 -YOLOV4 ONNX DNN Inference (Part Four).mp4 (114.2 MB)
5 -YOLOV4 ONNX DNN Inference (Part Fifth).mp4 (81.24 MB)
6 -YOLOV4 ONNX DNN Inference (Part Six).mp4 (128.61 MB)
7 -YOLOV4 ONNX DNN Inference (Part Seven).mp4 (101.11 MB)
8 -YOLOV4 ONNX DNN Inference (Part Eight).mp4 (129.34 MB)
1 -Demo Yolov4.mp4 (1.29 MB)
1 -main demo.mp4 (1.39 MB)
1 -Yolov4 Video Inference part 1.mp4 (87.18 MB)
2 -Yolov4 Video Inference part 2.mp4 (108.34 MB)
3 -Yolov4 Video Inference part 3.mp4 (56.88 MB)
4 -Yolov4 Video Inference part 4.mp4 (152.45 MB)
1 -SetUp Workign Directory of yolov5 (2).mp4 (65.6 MB)
10 -Prepare Yolov5 For Inference ( Part 1).mp4 (43.64 MB)
2 -YOLOV4 ONNX DNN Inference (Part Nine).mp4 (152.04 MB)
3 -YOLOv5 Onnx Inference - OpenCV (Part 3).mp4 (47.32 MB)
4 -YOLOv5 Onnx Inference - OpenCV (Part 4).mp4 (82.64 MB)
5 -YOLOv5 Onnx Inference - OpenCV (Part 5).mp4 (57.55 MB)
6 -YOLOv5 Onnx Inference - OpenCV (Part 6).mp4 (104.22 MB)
7 -YOLOv5 Onnx Inference - OpenCV (Part 7).mp4 (158.23 MB)
8 -YOLOv5 Onnx Inference - OpenCV (Part 8).mp4 (99.74 MB)
9 -Yolov5 Onnx Inference (Part 9).mp4 (87.33 MB)
1 -main demo.mp4 (1.39 MB)
1 -TensorRT-yoloV5 Inference (Part 1) && what is OpenCL and OpenGL(their usage).mp4 (148.74 MB)
2 -TensorRT-yoloV5 Inference (Part 2).mp4 (116.68 MB)
3 -TensorRT-yoloV5 Inference (Part 3).mp4 (44.64 MB)
4 -TensorRT-yoloV5 Inference (Part 4).mp4 (76.2 MB)
5 -TensorRT-yoloV5 Inference (Part 5).mp4 (157.98 MB)
6 -TensorRT-yoloV5 Inference (Part 6).mp4 (155.22 MB)
7 -TensorRT-yoloV5 Inference (Part 7).mp4 (168.05 MB)
8 -TensorRT-yoloV5 Inference (Part 8).mp4 (86.71 MB)
9 -TensorRT-yoloV5 Inference (Part 9).mp4 (18.23 MB)
1 -main demo.mp4 (1.39 MB)
1 -yolov5 video inference 1.mp4 (101.65 MB)
2 -yolov5 video inference 2.mp4 (117.17 MB)
3 -yolov5 video inference 3.mp4 (44.18 MB)
4 -yolov5 video inference 4.mp4 (35.41 MB)
5 -yolov5 video inference 5.mp4 (55.96 MB)
6 -yolov5 video inference 6.mp4 (54.45 MB)
7 -yolov5 video inference 7.mp4 (31.19 MB)
8 -yolov5 video inference 8.mp4 (18.23 MB)
1 -TensorRT5-TensorRT8 6 1 Deep Tutorial Implementation Classify-On Google Colab.mp4 (36.82 MB)
2 -TensorRT Precision Covnersion details from FLOAT32-INT8 Part 1.mp4 (44.3 MB)
3 -TensorRT Precision Covnersion details from FLOAT32-INT8 Part 2.mp4 (46.22 MB)
4 -TensorRT Precision Covnersion details from FLOAT32-INT8 Part 3.mp4 (70.21 MB)
1 -How to rate this course.mp4 (28.49 MB)
1 -Single Inheritance Explanation with Python.mp4 (76.57 MB)
2 -Single Inheritance Explanation Part 2 with Python.mp4 (35.5 MB)
3 -Multiple Inheritance part 1 (Without Super).mp4 (44.68 MB)
4 -Multiple Inheritance part 2 (Without Super).mp4 (18.25 MB)
5 -Multiple Inheritance part 3 (With Super).mp4 (79.92 MB)
6 -Multiple Inheritance part 4(with Super Debugging).mp4 (26.07 MB)
1 -Introduction of YOLOVX ersions.mp4 (45.62 MB)
2 -Deep Dive into Yolov5 P6 models.mp4 (118.76 MB)
3 -where and when to use YOLOV5, YOLOV7, YOLOV8.mp4 (56.9 MB)
4 -Usage of YOLOVX version for Robotics and Embedded.mp4 (78.18 MB)
1 -Yolov7 Prerequisites Insallations 1.mp4 (53.48 MB)
2 -Yolov7 Base Class Implementation 1.mp4 (162.65 MB)
3 -Yolov7 Derived Class Implementation 2.mp4 (61.09 MB)
4 -Yolov7 Derived Class Implementation 3.mp4 (58.45 MB)
5 -Yolov7 Derived Class Implementation 4.mp4 (104.99 MB)
6 -Yolov7 Derived Class Implementation 5.mp4 (73.64 MB)
7 -Yolov7 Inference RUN.mp4 (32.78 MB)
1 -Custom Yolov8 Detection and Segmentation on Local GPU , Fast and Accurate ONNX.mp4 (37.94 MB)
2 -Get Familiar with Programming Flow and YoloV8 Preparation and Download.mp4 (100.75 MB)
3 -Yolov8 Single Shot Inference with Raw Model Part 2.mp4 (144.09 MB)
4 -Yolov8 Single Shot Inference with Raw Model Part 3.mp4 (144.06 MB)
5 -Yolov8 Single Shot Inference with Raw Model Part 3.mp4 (103.64 MB)
6 -Yolov8 Single Shot Inference with Raw Model Part 4.mp4 (44.55 MB)
1 -Yolov8 Detect and Segmentation Workflow.mp4 (29.94 MB)
2 -Yolov8 ONNX model Configuration.mp4 (53.8 MB)
3 -Implementation YoloV8 part 1.mp4 (153.54 MB)
4 -Implementation YoloV8 part 2.mp4 (75.99 MB)
5 -Implementation YoloV8 part 3.mp4 (184.92 MB)
6 -Implementation YoloV8 part 4.mp4 (136.23 MB)
7 -Implementation YoloV8 part 5.mp4 (85.78 MB)
1 -Fast Face Detection with Pytorch, Mtcnn, Facenet.mp4 (13.31 MB)
1 -Dive in Pytorch API - Practical Lab.mp4 (68.59 MB)
1 -Transfer Learning Overview.mp4 (58.06 MB)
2 -Why and how tranfer learning is used.mp4 (36.57 MB)
3 -Transfer learning BackBone Vs Architecture.mp4 (25.9 MB)
4 -TransferLearning with Resnet50(ImagineNet).mp4 (30.13 MB)
5 -Transfer Learning Lab 1 for DogvsCat.mp4 (102.25 MB)
6 -Lab2 Multiclass Transfer Learning.mp4 (87.86 MB)
7 -Custom Transfer Learning Bird Boxes.mp4 (50.39 MB)
1 -Segmentation Introduction.mp4 (30.05 MB)
2 -UNET Architecture Explanation.mp4 (35.49 MB)
3 -Create, Train and Validate your Unet from scratch with Tensorflow API.mp4 (38.7 MB)
4 -UNET & Segmentation LAB Part 2.mp4 (45.65 MB)
5 -Develop Unet with TensorFlow API.mp4 (32.82 MB)
1 -Onnx, TensorRT, Docker Tutorial (part 1).mp4 (57.17 MB)
2 -Onnx, TensorRT, Docker Tutorial (part 2).mp4 (60.44 MB)
3 -Onnx, TensorRT, Docker Tutorial (part 3).mp4 (40.54 MB)
4 -Onnx, TensorRT, Docker Tutorial (part 4).mp4 (80.44 MB)
1 -Object Localization with MNIST.mp4 (16.58 MB)
2 -LAB-Object Localization.mp4 (82.94 MB)
1 -CONCEPTS IN COMPUTER VISION.mp4 (76.93 MB)
1 -What DEMO looks like Part One.mp4 (77.04 MB)
2 -What Demo Looks Like Part Two.mp4 (17.18 MB)
1 -DeepLabV3 Plus Backbone.mp4 (31.17 MB)
10 -Visualize Pytorch Dataloader Images.mp4 (101.9 MB)
11 -DeepLabV3 Plus Resnet101 Pytorch Design.mp4 (56.22 MB)
12 -DeepLab3Plus Resnet 101 Training & validation.mp4 (77.54 MB)
13 -Traning Complete.mp4 (44.97 MB)
14 -Launch training for Deeplabv3 Plus with Resnet101 on MRI Images.mp4 (38.07 MB)
15 -FInalize DeepLabv3 Plus Segmentation.mp4 (41.38 MB)
16 -DeepLabV3 Plus Practical implementation.mp4 (101.91 MB)
2 -Dive into DeepLabv3 Backbone.mp4 (99.12 MB)
3 -DeepLabv3 Backbone Explanation.mp4 (54.96 MB)
4 -DeepLaV3 Plus MRI BRAIN Images Segmentation.mp4 (52.77 MB)
5 -MRI Images Managing.mp4 (69.13 MB)
6 -Handling Pair of RGB Images & Mask Images.mp4 (161.22 MB)
7 -MRI Dataloader Code Generation.mp4 (102.17 MB)
8 -Dataloader-Augmentation Challenge.mp4 (34.55 MB)
9 -MRI Dataloader Complete.mp4 (76.65 MB)
1 -Detect Vs Classify Oriented Objects with YOLOv8 Oriented Bounding Boxes.mp4 (29.48 MB)
2 -YOLOV8 Object Oriented Dive into.mp4 (86.08 MB)
3 -Understand Overfitting & Underfitting with Metrics.mp4 (43.81 MB)
4 -Experimental Results.mp4 (19.46 MB)
5 -F1 score, Precision, Recall Metrices.mp4 (99.54 MB)
6 -Confusion Matrix-YoloV8-OBB.mp4 (101.43 MB)
7 -Computer Vision Applied on Instrustrial Applications.mp4 (141.15 MB)
8 -Role of TensorRT on Computer VIsion and on Insdurial Applications.mp4 (158.57 MB)
1 -Demo.mp4 (11.19 MB)
2 -Overview of Demo Project.mp4 (38.91 MB)
1 -what is MidJourney and how to use it.mp4 (37.32 MB)
2 -Demo.mp4 (157.68 MB)
3 -More Creative prompt, more creative Image.mp4 (153.57 MB)
4 -OpenAI & Midjourney Competition.mp4 (98.1 MB)
5 -All Stable Diffusion Models.mp4 (86.58 MB)
6 -Practical Implementation with Stable Diffusion Models.mp4 (95.7 MB)
1 -LLama 3 2 Prototype.mp4 (118.35 MB)
1 -Investigate Semantic Querries Via LOTUS.mp4 (93.67 MB)
1 -OpenAI GPTs Model Part 1.mp4 (13.55 MB)
2 -OpenAI GPTs Model Part 2.mp4 (20.63 MB)
1 -how to install nvidia drivers and set up.mp4 (55.94 MB)
2 -Download Nvidia Driver (Part two).mp4 (6.33 MB)
3 -Verify Installation of Nvdia Driver and Nouveau Driver.mp4 (18.83 MB)
4 -Verify Installation of Nvidia Driver (Part two).mp4 (14.74 MB)
1 -Deep Reinforcement Learning Cart Pole Playing Custom Training and Inference.mp4 (52.66 MB)
2 -Deep Reinforcement Learning LUNAR LANDING Custom Training and Inference.mp4 (48.14 MB)
3 -Deep Reinforcement Learning Frozen Lake Training and Inference.mp4 (72.17 MB)
1 -Docker and Nvidia Stack (Part One).mp4 (20.41 MB)
2 -Docker and Nvidia Gpu Stack (Part two).mp4 (55.88 MB)
3 -Docker and Nvidia Gpu Stack (Part three).mp4 (25.23 MB)
1 -Docker Images Installation and Configuration.mp4 (59.06 MB)
2 -Docker SetUp and Configuration with Sudo on Local Machine.mp4 (16.21 MB)
3 -Setup Docker Successfuly on your local Machine.mp4 (7.25 MB)]
Screenshot
![[Image: signature.png]](https://softwarez.info/images/avsg/signature.png)
