27.54 GB | 1h 35min 27s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
1 -What is Object Detection.mp4 (148.66 MB)
10 -FASTER RCNN with Pytorch Implementation.mp4 (140.18 MB)
11 -Custom Object Detection with YOLOv11.mp4 (307.36 MB)
12 -Custom Object Detection with Detectron2.mp4 (233.39 MB)
2 -Object Detection Metrics.mp4 (208.06 MB)
3 -What are Bounding Boxes.mp4 (50.55 MB)
4 -Getting started with YOLO.mp4 (177.13 MB)
5 -Getting started with Detectron2.mp4 (137.15 MB)
6 -Object Detection Architectures.mp4 (88.98 MB)
7 -RCNN.mp4 (76.67 MB)
8 -FAST RCNN.mp4 (79 MB)
9 -FASTER RCNN.mp4 (129.65 MB)
1 -Introduction to Image Segmentation.mp4 (173.16 MB)
2 -002-Downsampling.zip (1.37 KB)
2 -Downsampling.mp4 (83.22 MB)
3 -003-Transposed convolution.zip (1.27 KB)
3 -UpsamplingTransposed Convolution.mp4 (89.45 MB)
4 -004-Segmentation Loss Functions.zip (1.15 KB)
4 -Segmentation Loss Functions.mp4 (88.49 MB)
5 -005-Fully Convolutional Networks (FCNs).zip (2.71 KB)
5 -Fully Convolutional Networks (FCNs).mp4 (325.02 MB)
6 -UNet.mp4 (113.42 MB)
1 -Anaconda Installation.mp4 (156.24 MB)
1 -Complete-Python-Bootcamp-main.zip (554.16 KB)
10 -Preactical Exmaples Of List.mp4 (82.23 MB)
11 -Sets In Python.mp4 (393.58 MB)
12 -Dictionaries In Python.mp4 (298.75 MB)
13 -Tuples In Python.mp4 (168.68 MB)
14 -Getting Started With Functions.mp4 (177.16 MB)
15 -More Coding Examples With Functions.mp4 (224.19 MB)
16 -Python Lambda Functions.mp4 (68.2 MB)
17 -Map Functions In Python.mp4 (82.41 MB)
18 -Filter Function In Python.mp4 (70.42 MB)
19 -Import Modules And Package In Python.mp4 (135.44 MB)
2 -Complete-Python-Bootcamp-main.zip (554.16 KB)
2 -Getting Started With VS Code.mp4 (141.75 MB)
20 -Standard Library Overview.mp4 (144.52 MB)
21 -File Operation In Python.mp4 (135.86 MB)
22 -Working With File Paths.mp4 (73.78 MB)
23 -Exception Handling.mp4 (204.28 MB)
24 -Classes And Objects In Python.mp4 (179.21 MB)
25 -Inheritance In OOPS.mp4 (161.6 MB)
26 -Polymorphism In OOPS.mp4 (157.71 MB)
27 -Encapsulation In OOPS.mp4 (187.02 MB)
28 -Abstraction In OOPS.mp4 (72.19 MB)
29 -Magic Methods In Python.mp4 (68.53 MB)
3 -Python Basics- Syntax and Semantics.mp4 (221.07 MB)
30 -Operator Overloading In Python.mp4 (77.44 MB)
31 -Custom Exception Handling.mp4 (136.14 MB)
32 -Iterators In Python.mp4 (47.51 MB)
33 -Generators In Python.mp4 (86.94 MB)
34 -Function Copy,Closures And Decorators.mp4 (176.72 MB)
35 -Numpy In Python.mp4 (520.42 MB)
36 -Pandas-DataFrame And Series.mp4 (532.58 MB)
37 -Data Manipulation With Pandas And Numpy.mp4 (447.01 MB)
38 -Reading Data From Various Data Source Using Pandas.mp4 (272.27 MB)
39 -Logging Practical Implementation In Python.mp4 (254.16 MB)
4 -Variables In Python.mp4 (267.74 MB)
40 -Logging With Multiple Loggers.mp4 (88.4 MB)
41 -Logging With a Real World Examples.mp4 (137.62 MB)
5 -Basic Datatypes In Python.mp4 (126.62 MB)
6 -Operators In Python.mp4 (167.63 MB)
7 -Conditional Statements(if,elif,else).mp4 (307.06 MB)
8 -Loops In Python.mp4 (376.89 MB)
9 -List and List Comprehension In Python.mp4 (287 MB)
1 -Introduction.mp4 (146.38 MB)
2 -Why Deep Learning is Becoming Popular.mp4 (228.39 MB)
1 -Perceptron Intuition.mp4 (326.9 MB)
10 -Relu Activation Function.mp4 (184.45 MB)
11 -Leaky Relu and Parametric Relu.mp4 (79.27 MB)
12 -ELU Activation Function.mp4 (69.01 MB)
13 -Softmax for Multiclass Classification.mp4 (194.42 MB)
14 -Which Activation Function To Apply When.mp4 (91.71 MB)
15 -Loss Function Vs Cost Function.mp4 (116.14 MB)
16 -Regression Cost Function.mp4 (285.7 MB)
17 -Loss Function Classification Problem.mp4 (358.04 MB)
18 -Which Loss Function To Use When.mp4 (62.07 MB)
19 -Gradient Descent Optimizers.mp4 (206.74 MB)
2 -Adv and Diadvantaes of Perceptron.mp4 (121.56 MB)
20 -SGD.mp4 (129.07 MB)
21 -Mini Batch With SGD.mp4 (178.56 MB)
22 -SGD with Momentum.mp4 (211.45 MB)
23 -Adagard.mp4 (144.22 MB)
24 -RMSPROP.mp4 (109.66 MB)
25 -Adam Optimiser.mp4 (113.42 MB)
26 -Exploding Gradient Problem.mp4 (169.63 MB)
27 -Weight Initialisation Techniques.mp4 (201.52 MB)
28 -Dropout Layers.mp4 (213.57 MB)
29 -CNN Introduction.mp4 (146.49 MB)
3 -ANN intuition and Working mov.mp4 (386.45 MB)
30 -Human Brain V CNN.mp4 (130.98 MB)
31 -All you need to know about Images.mp4 (121.94 MB)
32 -Convolution Operatuin In CNN.mp4 (275.14 MB)
33 -Padding In CNN.mp4 (104.92 MB)
34 -Operation Of CNN Vs ANN.mp4 (133.09 MB)
35 -Max, Min and Average Pooling.mp4 (182.37 MB)
36 -Flattening and Fully Connected Layers.mp4 (134.79 MB)
37 -CNN Example with RGB.mp4 (76.95 MB)
4 -Back Propogation and Weight Updation.mp4 (359.89 MB)
5 -Chain Rule Of Derivatives.mp4 (223.67 MB)
6 -Vanishing Gradient Problem and Sigmoid.mp4 (399.21 MB)
7 -Sigmoid Activation Function.mp4 (116.32 MB)
8 -Sigmoid Activation Function part -2.mp4 (234.8 MB)
9 -Tanh Activation Function.mp4 (97.95 MB)
1 -002.zip (471.57 KB)
1 -Reading and Writing Images.mp4 (85.18 MB)
10 -010.zip (48.46 KB)
10 -Adding Text to Image.mp4 (67.48 MB)
11 -011.zip (5.1 MB)
11 -Affine.mp4 (275.47 MB)
12 -012.zip (570.41 KB)
12 -Image FIlters.mp4 (176.61 MB)
13 -013.mp4 (98.12 MB)
13 -013.zip (585.09 KB)
13 -Applying Blur filters Average, Gaussian, Median.mp4 (97.19 MB)
14 -014.mp4 (189.97 MB)
14 -014.zip (1.04 MB)
14 -Edge Detection Using Sobel, Canny & Laplacian.mp4 (173.71 MB)
15 -015.zip (304.71 KB)
15 -Calculating and Plotting Histogram.mp4 (102.16 MB)
16 -016.zip (1005.32 KB)
16 -Histogram Equalization.mp4 (155 MB)
17 -017.zip (1.69 MB)
17 -CLAHE.mp4 (111.33 MB)
18 -018.zip (817.75 KB)
18 -Contours.mp4 (196.71 MB)
19 -019.zip (2.95 MB)
19 -Image Segmentation Using openCV.mp4 (658.3 MB)
2 -003.zip (1004.58 KB)
2 -Working with the video Files.mp4 (155.43 MB)
20 -020.zip (1.55 KB)
20 -Haar Cascade for face detection.mp4 (419.88 MB)
3 -Introduction openCv.mp4 (46.92 MB)
4 -004.zip (1.83 MB)
4 -Exploring Color Space.mp4 (199.25 MB)
5 -005.zip (1.02 MB)
5 -Color Thresholding.mp4 (151.53 MB)
6 -006.zip (1.73 MB)
6 -image Resizing, Scaling and interpolation.mp4 (274.93 MB)
7 -007.zip (884.79 KB)
7 -Flip, Rotate and Crop Images.mp4 (146.83 MB)
8 -Understanding Coordinate system in openCV.mp4 (21.85 MB)
9 -009.zip (408.9 KB)
9 -Drawing lines and shapes using opencv.mp4 (90.21 MB)
1 -Introduction PyTorch.mp4 (106.88 MB)
10 -010-Stack-Operation.zip (846.84 KB)
10 -Stack Operation.mp4 (140.45 MB)
11 -011-Understanding Pytorch neural network components.zip (2.6 KB)
11 -Understanding Pytorch neural network components.mp4 (206.85 MB)
12 -012-Create Linear Regression model with Pytorch components.zip (11.28 KB)
12 -Create Linear Regression model with Pytorch components.mp4 (353.42 MB)
13 -013-Multi-Class-classification-with-pytorch-using-custom-neural-networks.zip (5.62 KB)
13 -Multi Class classification with pytorch using custom neural networks.mp4 (165.18 MB)
14 -014-Understanding-components-of-custom-data-loader-in-pytorch.zip (27.52 KB)
14 -Understanding components of custom data loader in pytorch.mp4 (266.82 MB)
15 -015-Defining-custom-Image-Dataset-loader-and-usage.zip (155.7 KB)
15 -Defining custom Image Dataset loader and usage.mp4 (248.41 MB)
16 -016-CNN-Training-Using-a-Custom-Dataset.zip (31.25 MB)
16 -CNN Training Using a Custom Dataset.mp4 (535.32 MB)
17 -Understanding Components of an Application.mp4 (85 MB)
18 -What is Deployment.mp4 (30.17 MB)
19 -Tools to create interactive demos.mp4 (135.17 MB)
2 -002-Introduction to tensors.zip (2.14 KB)
2 -Introduction to Tensors.mp4 (96.44 MB)
20 -Hosting platform.mp4 (70.55 MB)
21 -021.zip (778 B)
21 -Setting up gradio app in local space.mp4 (54.52 MB)
22 -022.zip (31.31 MB)
22 -Implementing gradio app inference backend.mp4 (306.87 MB)
23 -Setting hugging face space.mp4 (58.47 MB)
24 -Deploying gradio app on hugging face space.mp4 (73.3 MB)
3 -003-Indexing-Tensors.zip (2.22 KB)
3 -indexing Tensors.mp4 (105.63 MB)
4 -004-Using Random Numbers to create noise image.zip (759.76 KB)
4 -Using Random Numbers to create noise image.mp4 (99.93 MB)
5 -005-Tensors of Zero s and One s.zip (6.22 KB)
5 -Tensors of Zero's and One's.mp4 (35.37 MB)
6 -006-Tensor DataTypes.zip (1.96 KB)
6 -Tensor data types.mp4 (108.31 MB)
7 -007-Tensor Manipulation.zip (3.33 KB)
7 -Tensor Manuplation.mp4 (214.62 MB)
8 -008-Matrix Aggregation.zip (1.88 KB)
8 -Matrix Aggregation.mp4 (79.23 MB)
9 -009-View-and-reshape.zip (943.3 KB)
9 -View and Reshape Operation.mp4 (98 MB)
1 -Image Understanding with CNNs vs ANNs.mp4 (198.74 MB)
2 -CNN Explainer.mp4 (136.76 MB)
3 -Visualization with Tensorspace.mp4 (92.55 MB)
4 -CNN Filters.mp4 (115.07 MB)
5 -Building Your Own Filters.mp4 (116.62 MB)
6 -Feature Map Size Calculation.mp4 (81.38 MB)
7 -CNN Parameter Calculations.mp4 (97.69 MB)
8 -Receptive Fields.mp4 (88.93 MB)
1 -What is Image Classification.mp4 (78.59 MB)
10 -VGG Pretrained Keras.mp4 (65.57 MB)
11 -VGG Pretrained Pytorch.mp4 (42.41 MB)
12 -VGG Transfer Learning.mp4 (103.94 MB)
13 -Inception Architecture.mp4 (102.86 MB)
14 -Inception Pretrained Keras.mp4 (45.81 MB)
15 -Inception Pretrained Pytorch.mp4 (35.3 MB)
16 -Inception Transfer Learning.mp4 (102.75 MB)
17 -ResNet Architecture.mp4 (140.06 MB)
18 -Resnet Pretrained Keras.mp4 (21.89 MB)
19 -Resnet Pretrained Pytorch.mp4 (26.04 MB)
2 -LeNet Architecture.mp4 (65.49 MB)
20 -Resnet Transfer Learning.mp4 (107.86 MB)
3 -LeNet with Keras.mp4 (85.02 MB)
4 -LeNet with Pytorch.mp4 (141.81 MB)
5 -AlexNet Architecture.mp4 (67.36 MB)
6 -AlexNet with Keras.mp4 (135.33 MB)
7 -AlexNet with Pytorch.mp4 (105.38 MB)
8 -VGG Architecture.mp4 (96.69 MB)
9 -Transfer Learning vs Pretrained.mp4 (33.99 MB)
1 -What is Data Augmentation.mp4 (81.3 MB)
2 -Data Augmentation with Albumentations.mp4 (112.94 MB)
3 -Data Augmentation with Imgaug.mp4 (58.59 MB)]
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