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[FreeCourseSite com] Udemy - Deep Learning Masterclass with TensorFlow 2 Over 20 Projects

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Title: UdemyGroup: NOGRPSource: Udemy
Info Hash
D8902F396A4A83CEBE32D5EBC2F546AFE358E7B4
Source
Unverified
Total Size
45.88 GB
Total Files
100
Seeders
0
Leechers
1
Health
Score
1
Type
Bookware

File List

FileSize
0. Websites you may like/[CourseClub.Me].url122 B
0. Websites you may like/[FreeCourseSite.com].url127 B
0. Websites you may like/[GigaCourse.Com].url49 B
1 - Introduction/1 - Welcome English.vtt3.12 KB
1 - Introduction/1 - Welcome.mp433.25 MB
1 - Introduction/2 - General Introduction English.vtt29.6 KB
1 - Introduction/2 - General Introduction.mp4216.83 MB
1 - Introduction/3 - Link to Code.html438 B
10 - Tensorboard integration/48 - Data logging English.vtt39.03 KB
10 - Tensorboard integration/48 - Data logging.mp4287.17 MB
10 - Tensorboard integration/49 - Viewing model graphs English.vtt3.39 KB
10 - Tensorboard integration/49 - Viewing model graphs.mp421.48 MB
10 - Tensorboard integration/50 - Hyperparameter tuning English.vtt23.05 KB
10 - Tensorboard integration/50 - Hyperparameter tuning.mp4194.96 MB
10 - Tensorboard integration/51 - Profiling and other visualizations with Tensorboard English.vtt8.9 KB
10 - Tensorboard integration/51 - Profiling and other visualizations with Tensorboard.mp469.19 MB
11 - MLOps with Weights and Biases/52 - Experiment tracking English.vtt64.29 KB
11 - MLOps with Weights and Biases/52 - Experiment tracking.mp4469.69 MB
11 - MLOps with Weights and Biases/53 - Hyperparameter tuning with wandb English.vtt30.79 KB
11 - MLOps with Weights and Biases/53 - Hyperparameter tuning with wandb.mp4222.61 MB
11 - MLOps with Weights and Biases/54 - Dataset Versioning with Weights and Biases and TensorFlow 2 English.vtt50.42 KB
11 - MLOps with Weights and Biases/54 - Dataset Versioning with Weights and Biases and TensorFlow 2.mp4329.47 MB
11 - MLOps with Weights and Biases/55 - Model Versioning with Weights and Biases and TensorFlow 2 English.vtt19.47 KB
11 - MLOps with Weights and Biases/55 - Model Versioning with Weights and Biases and TensorFlow 2.mp4137.45 MB
12 - Human Emotions Detection/0. Websites you may like/[CourseClub.Me].url122 B
12 - Human Emotions Detection/0. Websites you may like/[FreeCourseSite.com].url127 B
12 - Human Emotions Detection/0. Websites you may like/[GigaCourse.Com].url49 B
12 - Human Emotions Detection/56 - Data preparation English.vtt32.08 KB
12 - Human Emotions Detection/56 - Data preparation.mp4225.51 MB
12 - Human Emotions Detection/57 - Modeling and training English.vtt59.94 KB
12 - Human Emotions Detection/57 - Modeling and training.mp4371.9 MB
12 - Human Emotions Detection/58 - Data augmentation English.vtt20.16 KB
12 - Human Emotions Detection/58 - Data augmentation.mp4142.06 MB
12 - Human Emotions Detection/59 - Tensorflow records English.vtt40.32 KB
12 - Human Emotions Detection/59 - Tensorflow records.mp4293.67 MB
13 - Modern Convolutional Neural Networks/60 - Alexnet English.vtt18.07 KB
13 - Modern Convolutional Neural Networks/60 - Alexnet.mp4183.37 MB
13 - Modern Convolutional Neural Networks/61 - Vggnet English.vtt12.26 KB
13 - Modern Convolutional Neural Networks/61 - Vggnet.mp4116.48 MB
13 - Modern Convolutional Neural Networks/62 - Resnet English.vtt35.6 KB
13 - Modern Convolutional Neural Networks/62 - Resnet.mp4351.43 MB
13 - Modern Convolutional Neural Networks/63 - Coding Resnets English.vtt26.63 KB
13 - Modern Convolutional Neural Networks/63 - Coding Resnets.mp4180.33 MB
13 - Modern Convolutional Neural Networks/64 - Mobilenet English.vtt27.34 KB
13 - Modern Convolutional Neural Networks/64 - Mobilenet.mp4206.72 MB
13 - Modern Convolutional Neural Networks/65 - Efficientnet English.vtt18.5 KB
13 - Modern Convolutional Neural Networks/65 - Efficientnet.mp4189.19 MB
14 - Transfer Learning/66 - Leveraging pretrained models English.vtt25.17 KB
14 - Transfer Learning/66 - Leveraging pretrained models.mp4163.53 MB
14 - Transfer Learning/67 - Finetuning English.vtt14.04 KB
14 - Transfer Learning/67 - Finetuning.mp4112.14 MB
15 - Understanding the blackbox/68 - Visualizing intermediate layers English.vtt21.23 KB
15 - Understanding the blackbox/68 - Visualizing intermediate layers.mp4158 MB
15 - Understanding the blackbox/69 - Gradcam method English.vtt24.02 KB
15 - Understanding the blackbox/69 - Gradcam method.mp4226.82 MB
16 - Ensembling and class imbalance/70 - Ensembling English.vtt5.97 KB
16 - Ensembling and class imbalance/70 - Ensembling.mp445.24 MB
16 - Ensembling and class imbalance/71 - Class Imbalance English.vtt12.84 KB
16 - Ensembling and class imbalance/71 - Class Imbalance.mp4100.63 MB
17 - Transformers in Vision/72 - Understanding VITs English.vtt56.68 KB
17 - Transformers in Vision/72 - Understanding VITs.mp4421.96 MB
17 - Transformers in Vision/73 - Building VITs from scratch English.vtt57.17 KB
17 - Transformers in Vision/73 - Building VITs from scratch.mp4398.78 MB
17 - Transformers in Vision/74 - Finetuning Huggingface transformers English.vtt27.15 KB
17 - Transformers in Vision/74 - Finetuning Huggingface transformers.mp4206.56 MB
17 - Transformers in Vision/75 - Model evaluation with wandb English.vtt25.11 KB
17 - Transformers in Vision/75 - Model evaluation with wandb.mp4140.27 MB
17 - Transformers in Vision/76 - Data efficient transformers English.vtt9.16 KB
17 - Transformers in Vision/76 - Data efficient transformers.mp472.79 MB
17 - Transformers in Vision/77 - Swin transformers English.vtt17.01 KB
17 - Transformers in Vision/77 - Swin transformers.mp4192.32 MB
18 - Model deployment/78 - Model Conversion from Tensorflow to Onnx English.vtt26.09 KB
18 - Model deployment/78 - Model Conversion from Tensorflow to Onnx.mp4205.49 MB
18 - Model deployment/79 - Understanding quantization English.vtt29.31 KB
18 - Model deployment/79 - Understanding quantization.mp4268.16 MB
18 - Model deployment/80 - Practical quantization of Onnx English.vtt9.14 KB
18 - Model deployment/80 - Practical quantization of Onnx.mp464.98 MB
18 - Model deployment/81 - Quantization aware training English.vtt19.97 KB
18 - Model deployment/81 - Quantization aware training.mp4160.51 MB
18 - Model deployment/82 - Conversion to Tensorflow Lite English.vtt20.03 KB
18 - Model deployment/82 - Conversion to Tensorflow Lite.mp4154.66 MB
18 - Model deployment/83 - What is an API English.vtt21.87 KB
18 - Model deployment/83 - What is an API.mp4127.92 MB
18 - Model deployment/84 - Building the Emotions Detection API with Fastapi English.vtt88.85 KB
18 - Model deployment/84 - Building the Emotions Detection API with Fastapi.mp4674.61 MB
18 - Model deployment/85 - Deploy the Emotions Detection API to the Cloud English.vtt13.65 KB
18 - Model deployment/85 - Deploy the Emotions Detection API to the Cloud.mp4100.23 MB
18 - Model deployment/86 - Load tesing the Emotions Detection API with Locust English.vtt15.64 KB
18 - Model deployment/86 - Load tesing the Emotions Detection API with Locust.mp4106.32 MB
19 - Object Detection with YOLO algorithm/87 - Understanding object detection English.vtt7.37 KB
19 - Object Detection with YOLO algorithm/87 - Understanding object detection.mp452.4 MB
19 - Object Detection with YOLO algorithm/88 - YOLO paper English.vtt68.07 KB
19 - Object Detection with YOLO algorithm/88 - YOLO paper.mp4571.99 MB
19 - Object Detection with YOLO algorithm/89 - Dataset Preparation English.vtt47.08 KB
19 - Object Detection with YOLO algorithm/89 - Dataset Preparation.mp4401.11 MB
19 - Object Detection with YOLO algorithm/90 - YOLO Resnet English.vtt6.03 KB
19 - Object Detection with YOLO algorithm/90 - YOLO Resnet.mp453.93 MB
19 - Object Detection with YOLO algorithm/91 - Data augmentation English.vtt26.67 KB
19 - Object Detection with YOLO algorithm/91 - Data augmentation.mp4219.37 MB
19 - Object Detection with YOLO algorithm/92 - Testing English.vtt35.49 KB

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