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Udemy - Complete Computer Vision Bootcamp With PyTorch & Tensorflow (1.2025)

Magnet Download Download Torrent
File Name
Size
1 - Introduction/1 - Welcome to the Course.html
146 B
10 - Basics of Object Detection/1 -What is Object Detection.mp4
149 MB
10 - Basics of Object Detection/1 -What is Object Detection.pdf
1.9 MB
10 - Basics of Object Detection/10 -Colab Link.url
108 B
10 - Basics of Object Detection/10 -FASTER RCNN with Pytorch Implementation.mp4
140 MB
10 - Basics of Object Detection/10 -Faster_RCNN_with_Pytorch.ipynb
1.2 MB
10 - Basics of Object Detection/11 -Colab Link.url
105 B
10 - Basics of Object Detection/11 -Custom Object Detection with YOLOv11.mp4
307 MB
10 - Basics of Object Detection/11 -Custom_Dataset_Training_with_YOLOv11.ipynb
1.0 MB
10 - Basics of Object Detection/12 -Colab Link.url
105 B
10 - Basics of Object Detection/12 -Custom Object Detection with Detectron2.mp4
233 MB
10 - Basics of Object Detection/12 -Custom_Dataset_Training_with_Detectron2.ipynb
5.0 MB
10 - Basics of Object Detection/2 -Object Detection Metrics.mp4
208 MB
10 - Basics of Object Detection/2 -OD Metrics.url
80 B
10 - Basics of Object Detection/3 -Bounding Boxes.pdf
1.1 MB
10 - Basics of Object Detection/3 -What are Bounding Boxes.mp4
50 MB
10 - Basics of Object Detection/4 -Colab Link.url
105 B
10 - Basics of Object Detection/4 -Getting started with YOLO.mp4
177 MB
10 - Basics of Object Detection/4 -Getting_Started_with_Yolov11.ipynb
13 kB
10 - Basics of Object Detection/5 -Colab Link.url
105 B
10 - Basics of Object Detection/5 -Getting started with Detectron2.mp4
137 MB
10 - Basics of Object Detection/5 -Getting_Started_with_Detectron2_Object_Detection.ipynb
33 MB
10 - Basics of Object Detection/6 -Object Detection Architectures.mp4
89 MB
10 - Basics of Object Detection/6 -Object Detection Architectures.pdf
955 kB
10 - Basics of Object Detection/7 -Paper.url
54 B
10 - Basics of Object Detection/7 -RCNN.mp4
77 MB
10 - Basics of Object Detection/7 -RCNN.pdf
1.4 MB
10 - Basics of Object Detection/8 -FAST RCNN.mp4
79 MB
10 - Basics of Object Detection/8 -Fast RCNN.pdf
1.2 MB
10 - Basics of Object Detection/8 -Paper Link.url
55 B
10 - Basics of Object Detection/9 -FASTER RCNN.mp4
130 MB
10 - Basics of Object Detection/9 -Faster RCNN.pdf
1.8 MB
10 - Basics of Object Detection/9 -Paper Link.url
55 B
11 - Image Segmentation/1 -001-Introduction to image segmentation.pdf
2.0 MB
11 - Image Segmentation/1 -Introduction to Image Segmentation.mp4
173 MB
11 - Image Segmentation/2 -002-Downsampling.pdf
826 kB
11 - Image Segmentation/2 -002-Downsampling.zip
1.4 kB
11 - Image Segmentation/2 -Downsampling.mp4
83 MB
11 - Image Segmentation/3 -003-Transposed convolution.pdf
892 kB
11 - Image Segmentation/3 -003-Transposed convolution.zip
1.3 kB
11 - Image Segmentation/3 -UpsamplingTransposed Convolution.mp4
89 MB
11 - Image Segmentation/4 -004-Segmentation Loss Functions.pdf
1.0 MB
11 - Image Segmentation/4 -004-Segmentation_Loss_Functions.zip
1.2 kB
11 - Image Segmentation/4 -Segmentation Loss Functions.mp4
88 MB
11 - Image Segmentation/5 -005-Fully Convolutional Networks (FCNs)-Research-paper-mentioned.txt
56 B
11 - Image Segmentation/5 -005-Fully Convolutional Networks (FCNs).pdf
1.6 MB
11 - Image Segmentation/5 -005-Fully Convolutional Networks (FCNs).zip
2.7 kB
11 - Image Segmentation/5 -Fully Convolutional Networks (FCNs).mp4
325 MB
11 - Image Segmentation/6 -006-Unet-Research-paper-mentioned.txt
66 B
11 - Image Segmentation/6 -006-Unet.pdf
1.0 MB
11 - Image Segmentation/6 -UNet.mp4
113 MB
2 - Python Prerequisites/1 - Complete Python Materials.html
48 B
2 - Python Prerequisites/1 -Anaconda Installation.mp4
156 MB
2 - Python Prerequisites/1 -Complete-Python-Bootcamp-main.zip
554 kB
2 - Python Prerequisites/10 -Preactical Exmaples Of List.mp4
82 MB
2 - Python Prerequisites/11 -Sets In Python.mp4
394 MB
2 - Python Prerequisites/12 -Dictionaries In Python.mp4
299 MB
2 - Python Prerequisites/13 -Tuples In Python.mp4
169 MB
2 - Python Prerequisites/14 -Getting Started With Functions.mp4
177 MB
2 - Python Prerequisites/15 -More Coding Examples With Functions.mp4
224 MB
2 - Python Prerequisites/16 -Python Lambda Functions.mp4
68 MB
2 - Python Prerequisites/17 -Map Functions In Python.mp4
82 MB
2 - Python Prerequisites/18 -Filter Function In Python.mp4
70 MB
2 - Python Prerequisites/19 -Import Modules And Package In Python.mp4
135 MB
2 - Python Prerequisites/2 -Complete-Python-Bootcamp-main.zip
554 kB
2 - Python Prerequisites/2 -Getting Started With VS Code.mp4
142 MB
2 - Python Prerequisites/20 -Standard Library Overview.mp4
144 MB
2 - Python Prerequisites/21 -File Operation In Python.mp4
136 MB
2 - Python Prerequisites/22 -Working With File Paths.mp4
74 MB
2 - Python Prerequisites/23 -Exception Handling.mp4
204 MB
2 - Python Prerequisites/24 -Classes And Objects In Python.mp4
179 MB
2 - Python Prerequisites/25 -Inheritance In OOPS.mp4
162 MB
2 - Python Prerequisites/26 -Polymorphism In OOPS.mp4
158 MB
2 - Python Prerequisites/27 -Encapsulation In OOPS.mp4
187 MB
2 - Python Prerequisites/28 -Abstraction In OOPS.mp4
72 MB
2 - Python Prerequisites/29 -Magic Methods In Python.mp4
68 MB
2 - Python Prerequisites/3 -Python Basics- Syntax and Semantics.mp4
221 MB
2 - Python Prerequisites/30 -Operator Overloading In Python.mp4
77 MB
2 - Python Prerequisites/31 -Custom Exception Handling.mp4
136 MB
2 - Python Prerequisites/32 -Iterators In Python.mp4
48 MB
2 - Python Prerequisites/33 -Generators In Python.mp4
87 MB
2 - Python Prerequisites/34 -Function Copy,Closures And Decorators.mp4
177 MB
2 - Python Prerequisites/35 -Numpy In Python.mp4
520 MB
2 - Python Prerequisites/36 -Pandas-DataFrame And Series.mp4
533 MB
2 - Python Prerequisites/37 -Data Manipulation With Pandas And Numpy.mp4
447 MB
2 - Python Prerequisites/38 -Reading Data From Various Data Source Using Pandas.mp4
272 MB
2 - Python Prerequisites/39 -Logging Practical Implementation In Python.mp4
254 MB
2 - Python Prerequisites/4 -Variables In Python.mp4
268 MB
2 - Python Prerequisites/40 -Logging With Multiple Loggers.mp4
88 MB
2 - Python Prerequisites/41 -Logging With a Real World Examples.mp4
138 MB
2 - Python Prerequisites/5 -Basic Datatypes In Python.mp4
127 MB
2 - Python Prerequisites/6 -Operators In Python.mp4
168 MB
2 - Python Prerequisites/7 -Conditional Statements(if,elif,else).mp4
307 MB
2 - Python Prerequisites/8 -Loops In Python.mp4
377 MB
2 - Python Prerequisites/9 -List and List Comprehension In Python.mp4
287 MB
3 - Introduction To Deep Learning/1 -1-4 Deep learnng.pdf
3.1 MB
3 - Introduction To Deep Learning/1 -Introduction.mp4
146 MB
3 - Introduction To Deep Learning/2 -Why Deep Learning is Becoming Popular.mp4
228 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/1 -Perceptron Intuition.mp4
327 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/10 -Relu Activation Function.mp4
184 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/11 -Leaky Relu and Parametric Relu.mp4
79 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/12 -ELU Activation Function.mp4
69 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/13 -Softmax for Multiclass Classification.mp4
194 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/14 -Which Activation Function To Apply When.mp4
92 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/15 -16-19 Loss Functions.pdf
3.5 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/15 -Loss Function Vs Cost Function.mp4
116 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/16 -Regression Cost Function.mp4
286 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/17 -Loss Function Classification Problem.mp4
358 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/18 -Which Loss Function To Use When.mp4
62 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/19 -20-26 Optimizers.pdf
4.2 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/19 -Gradient Descent Optimizers.mp4
207 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/2 -Adv and Diadvantaes of Perceptron.mp4
122 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/20 -SGD.mp4
129 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/21 -Mini Batch With SGD.mp4
179 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/22 -SGD with Momentum.mp4
212 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/23 -Adagard.mp4
144 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/24 -RMSPROP.mp4
110 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/25 -Adam Optimiser.mp4
113 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/26 -Exploding Gradient Problem.mp4
170 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/27 -27-8 Weight initialization Techniques.pdf
1.9 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/27 -Weight Initialisation Techniques.mp4
202 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/28 -29-Dropout Layer.pdf
760 kB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/28 -Dropout Layers.mp4
214 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/29 -30-38 CNN.pdf
5.0 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/29 -CNN Introduction.mp4
146 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/3 -5-8 Deep LEarning.pdf
4.2 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/3 -ANN intuition and Working.mov.mp4
386 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/30 -Human Brain V CNN.mp4
131 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/31 -All you need to know about Images.mp4
122 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/32 -Convolution Operatuin In CNN.mp4
275 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/33 -Padding In CNN.mp4
105 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/34 -Operation Of CNN Vs ANN.mp4
133 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/35 -Max, Min and Average Pooling.mp4
182 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/36 -Flattening and Fully Connected Layers.mp4
135 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/37 -CNN Example with RGB.mp4
77 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/4 -Back Propogation and Weight Updation.mp4
360 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/5 -Chain Rule Of Derivatives.mp4
224 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/6 -8-15 Activation functions.pdf
4.7 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/6 -Vanishing Gradient Problem and Sigmoid.mp4
399 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/7 -Sigmoid Activation Function.mp4
116 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/8 -Sigmoid Activation Function part -2.mp4
235 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/9 -Tanh Activation Function.mp4
98 MB
5 - computer vision (Open CV With Python)/1 -002.zip
472 kB
5 - computer vision (Open CV With Python)/1 -Reading and Writing Images.mp4
85 MB
5 - computer vision (Open CV With Python)/10 -010.zip
48 kB
5 - computer vision (Open CV With Python)/10 -Adding Text to Image.mp4
68 MB
5 - computer vision (Open CV With Python)/11 -011.pdf
1.9 MB
5 - computer vision (Open CV With Python)/11 -011.zip
5.1 MB
5 - computer vision (Open CV With Python)/11 -Affine.mp4
276 MB
5 - computer vision (Open CV With Python)/12 -012.zip
570 kB
5 - computer vision (Open CV With Python)/12 -Image FIlters.mp4
177 MB
5 - computer vision (Open CV With Python)/13 -013.mp4
98 MB
5 - computer vision (Open CV With Python)/13 -013.zip
585 kB
5 - computer vision (Open CV With Python)/13 -Applying Blur filters Average, Gaussian, Median.mp4
97 MB
5 - computer vision (Open CV With Python)/14 -014.mp4
190 MB
5 - computer vision (Open CV With Python)/14 -014.zip
1.0 MB
5 - computer vision (Open CV With Python)/14 -Edge Detection Using Sobel, Canny & Laplacian.mp4
174 MB
5 - computer vision (Open CV With Python)/15 -015.zip
305 kB
5 - computer vision (Open CV With Python)/15 -Calculating and Plotting Histogram.mp4
102 MB
5 - computer vision (Open CV With Python)/16 -016.zip
1005 kB
5 - computer vision (Open CV With Python)/16 -Histogram Equalization.mp4
155 MB
5 - computer vision (Open CV With Python)/17 -017.pdf
940 kB
5 - computer vision (Open CV With Python)/17 -017.zip
1.7 MB
5 - computer vision (Open CV With Python)/17 -CLAHE.mp4
111 MB
5 - computer vision (Open CV With Python)/18 -018.zip
818 kB
5 - computer vision (Open CV With Python)/18 -Contours.mp4
197 MB
5 - computer vision (Open CV With Python)/19 -019.zip
2.9 MB
5 - computer vision (Open CV With Python)/19 -Image Segmentation Using openCV.mp4
658 MB
5 - computer vision (Open CV With Python)/2 -003.zip
1005 kB
5 - computer vision (Open CV With Python)/2 -Working with the video Files.mp4
155 MB
5 - computer vision (Open CV With Python)/20 -020.zip
1.6 kB
5 - computer vision (Open CV With Python)/20 -Haar Cascade for face detection.mp4
420 MB
5 - computer vision (Open CV With Python)/3 -Introduction openCv.mp4
47 MB
5 - computer vision (Open CV With Python)/4 -004.zip
1.8 MB
5 - computer vision (Open CV With Python)/4 -Exploring Color Space.mp4
199 MB
5 - computer vision (Open CV With Python)/5 -005.zip
1.0 MB
5 - computer vision (Open CV With Python)/5 -Color Thresholding.mp4
152 MB
5 - computer vision (Open CV With Python)/6 -006.zip
1.7 MB
5 - computer vision (Open CV With Python)/6 -image Resizing, Scaling and interpolation.mp4
275 MB
5 - computer vision (Open CV With Python)/7 -007.zip
885 kB
5 - computer vision (Open CV With Python)/7 -Flip, Rotate and Crop Images.mp4
147 MB
5 - computer vision (Open CV With Python)/8 -008.pdf
780 kB
5 - computer vision (Open CV With Python)/8 -Understanding Coordinate system in openCV.mp4
22 MB
5 - computer vision (Open CV With Python)/9 -009.zip
409 kB
5 - computer vision (Open CV With Python)/9 -Drawing lines and shapes using opencv.mp4
90 MB
6 - PyTorch/1 -Introduction PyTorch.mp4
107 MB
6 - PyTorch/10 -010-Stack-Operation.pdf
847 kB
6 - PyTorch/10 -010-Stack-Operation.zip
847 kB
6 - PyTorch/10 -Stack Operation.mp4
140 MB
6 - PyTorch/11 -011-Understanding Pytorch neural network components.zip
2.6 kB
6 - PyTorch/11 -011-Understanding-Pytorch-neural-network-components.pdf
862 kB
6 - PyTorch/11 -Understanding Pytorch neural network components.mp4
207 MB
6 - PyTorch/12 -012-Create Linear Regression model with Pytorch components.zip
11 kB
6 - PyTorch/12 -Create Linear Regression model with Pytorch components.mp4
353 MB
6 - PyTorch/13 -013-Multi-Class-classification-with-pytorch-using-custom-neural-networks.zip
5.6 kB
6 - PyTorch/13 -Multi Class classification with pytorch using custom neural networks.mp4
165 MB
6 - PyTorch/14 -014-Understanding-components-of-custom-data-loader-in-pytorch.zip
28 kB
6 - PyTorch/14 -Understanding components of custom data loader in pytorch.mp4
267 MB
6 - PyTorch/15 -015-Defining-custom-Image-Dataset-loader-and-usage.zip
156 kB
6 - PyTorch/15 -015.pdf
898 kB
6 - PyTorch/15 -Defining custom Image Dataset loader and usage.mp4
248 MB
6 - PyTorch/16 -016-CNN-Training-Using-a-Custom-Dataset.zip
31 MB
6 - PyTorch/16 -016.pdf
897 kB
6 - PyTorch/16 -CNN Training Using a Custom Dataset.mp4
535 MB
6 - PyTorch/17 -017.pdf
974 kB
6 - PyTorch/17 -Understanding Components of an Application.mp4
85 MB
6 - PyTorch/18 -018.pdf
844 kB
6 - PyTorch/18 -What is Deployment.mp4
30 MB
6 - PyTorch/19 -019.pdf
887 kB
6 - PyTorch/19 -Tools to create interactive demos.mp4
135 MB
6 - PyTorch/2 -002-Introduction to tensors.zip
2.1 kB
6 - PyTorch/2 -Introduction to Tensors.mp4
96 MB
6 - PyTorch/20 -020.pdf
1.2 MB
6 - PyTorch/20 -Hosting platform.mp4
70 MB
6 - PyTorch/21 -021.zip
778 B
6 - PyTorch/21 -Setting up gradio app in local space.mp4
54 MB
6 - PyTorch/22 -022.zip
31 MB
6 - PyTorch/22 -Implementing gradio app inference backend.mp4
307 MB
6 - PyTorch/23 -Setting hugging face space.mp4
58 MB
6 - PyTorch/24 -Deploying gradio app on hugging face space.mp4
73 MB
6 - PyTorch/3 -003-Indexing-Tensors.zip
2.2 kB
6 - PyTorch/3 -indexing Tensors.mp4
106 MB
6 - PyTorch/4 -004-Using Random Numbers to create noise image.zip
760 kB
6 - PyTorch/4 -Using Random Numbers to create noise image.mp4
100 MB
6 - PyTorch/5 -005-Tensors of Zero_s and One_s.zip
6.2 kB
6 - PyTorch/5 -Tensors of Zero's and One's.mp4
35 MB
6 - PyTorch/6 -006-Tensor DataTypes.zip
2.0 kB
6 - PyTorch/6 -Tensor data types.mp4
108 MB
6 - PyTorch/7 -007-Tensor_Manipulation.zip
3.3 kB
6 - PyTorch/7 -Tensor Manuplation.mp4
215 MB
6 - PyTorch/8 -008-Matrix Aggregation.zip
1.9 kB
6 - PyTorch/8 -Matrix Aggregation.mp4
79 MB
6 - PyTorch/9 -009-View-and-reshape.pdf
943 kB
6 - PyTorch/9 -009-View-and-reshape.zip
943 kB
6 - PyTorch/9 -View and Reshape Operation.mp4
98 MB
7 - Deep Dive Visualizing CNNs/1 -Image Understanding with CNNs vs ANNs.mp4
199 MB
7 - Deep Dive Visualizing CNNs/1 -Understanding of images with Visualization.pdf
8.4 MB
7 - Deep Dive Visualizing CNNs/2 -CNN Explainer Link.url
64 B
7 - Deep Dive Visualizing CNNs/2 -CNN Explainer.mp4
137 MB
7 - Deep Dive Visualizing CNNs/3 -Tensorspace Link.url
73 B
7 - Deep Dive Visualizing CNNs/3 -Visualization with Tensorspace.mp4
93 MB
7 - Deep Dive Visualizing CNNs/4 -CNN Filters.mp4
115 MB
7 - Deep Dive Visualizing CNNs/4 -CNN Filters.pdf
407 kB
7 - Deep Dive Visualizing CNNs/5 -Build Your Custom Filters.pdf
52 kB
7 - Deep Dive Visualizing CNNs/5 -Building Your Custom Filters.ipynb
4.1 MB
7 - Deep Dive Visualizing CNNs/5 -Building Your Own Filters.mp4
117 MB
7 - Deep Dive Visualizing CNNs/6 -Feature Map Size Calculation.mp4
81 MB
7 - Deep Dive Visualizing CNNs/7 -CNN Parameter Calculation.ipynb
15 kB
7 - Deep Dive Visualizing CNNs/7 -CNN Parameter Calculations.mp4
98 MB
7 - Deep Dive Visualizing CNNs/7 -Colab Link.url
108 B
7 - Deep Dive Visualizing CNNs/8 -Receptive Fields.mp4
89 MB
8 - Image Classification/1 -What is Image Classification.mp4
79 MB
8 - Image Classification/1 -What is Image Classification.pdf
1.1 MB
8 - Image Classification/10 -VGG Keras Pretrained Model.ipynb
392 kB
8 - Image Classification/10 -VGG Pretrained Keras.mp4
66 MB
8 - Image Classification/11 -VGG Pretrained Pytorch.ipynb
364 kB
8 - Image Classification/11 -VGG Pretrained Pytorch.mp4
42 MB
8 - Image Classification/12 -Dataset.url
105 B
8 - Image Classification/12 -VGG Transfer Learning Pytorch.ipynb
440 kB
8 - Image Classification/12 -VGG Transfer Learning.mp4
104 MB
8 - Image Classification/13 -Googlenet CNN Architecture.pdf
1.4 MB
8 - Image Classification/13 -Inception Architecture.mp4
103 MB
8 - Image Classification/14 -Inception Pretrained Keras.mp4
46 MB
8 - Image Classification/14 -Inception Pretrained.ipynb
754 kB
8 - Image Classification/15 -Inception Pretrained Pytorch.mp4
35 MB
8 - Image Classification/15 -Inception Pytorch Pretrained.ipynb
408 kB
8 - Image Classification/16 -Inception Transfer Learning.mp4
103 MB
8 - Image Classification/16 -InceptionV3_Transfer_Learning_Keras_CIFAR10.ipynb
761 kB
8 - Image Classification/17 -ResNet Architecture.mp4
140 MB
8 - Image Classification/17 -Resnet Architecture.pdf
1.5 MB
8 - Image Classification/18 -Resnet Pretrained Keras.ipynb
655 kB
8 - Image Classification/18 -Resnet Pretrained Keras.mp4
22 MB
8 - Image Classification/19 -Resnet Pretrained Pytorch.ipynb
422 kB
8 - Image Classification/19 -Resnet Pretrained Pytorch.mp4
26 MB
8 - Image Classification/2 -LeNet Architecture.mp4
66 MB
8 - Image Classification/2 -LeNet-5 CNN Architecture.pdf
1.3 MB
8 - Image Classification/2 -Paper.url
83 B
8 - Image Classification/20 -Dataset.url
108 B
8 - Image Classification/20 -Resnet Transfer Learning Pytorch.ipynb
787 kB
8 - Image Classification/20 -Resnet Transfer Learning.mp4
108 MB
8 - Image Classification/3 -LeNet with Keras.mp4
85 MB
8 - Image Classification/3 -LeNet5 with MNIST Keras.ipynb
26 kB
8 - Image Classification/4 -LeNet with Pytorch.mp4
142 MB
8 - Image Classification/4 -LeNet5 Pytorch.ipynb
89 kB
8 - Image Classification/5 -AlexNet Architecture.mp4
67 MB
8 - Image Classification/5 -AlexNet CNN Architecture.pdf
906 kB
8 - Image Classification/6 -AlexNet _ Keras.ipynb
108 kB
8 - Image Classification/6 -AlexNet with Keras.mp4
135 MB
8 - Image Classification/6 -Dataset.url
105 B
8 - Image Classification/7 -AlexNet Pytorch.ipynb
68 kB
8 - Image Classification/7 -AlexNet with Pytorch.mp4
105 MB
8 - Image Classification/7 -Dataset.url
105 B
8 - Image Classification/8 -VGG Architecture.mp4
97 MB
8 - Image Classification/8 -VGG CNN Architecture.pdf
1.8 MB
8 - Image Classification/9 -Transfer Learning vs Pretrained.mp4
34 MB
8 - Image Classification/9 -Transfer Learning vs Pretrained.pdf
386 kB
9 - Data Augmentation/1 -What is Data Augmentation.mp4
81 MB
9 - Data Augmentation/2 -Colab Link.url
108 B
9 - Data Augmentation/2 -Data Augmentation with Albumentations.mp4
113 MB
9 - Data Augmentation/2 -Data_Augmenation_with_Albumentations.ipynb
2.0 MB
9 - Data Augmentation/3 -Colab Link.url
108 B
9 - Data Augmentation/3 -Data Augmentation with Imgaug.mp4
59 MB
9 - Data Augmentation/3 -Data_Augmentation_with_IMGAUG.ipynb
875 kB