Udemy - Convolutional Neural Networks in Python: CNN Computer Vision [FCS]

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Udemy - Convolutional Neural Networks in Python: CNN Computer Vision [FCS]

Torrent Contents Size: 2.7 GB

Udemy - Convolutional Neural Networks in Python: CNN Computer Vision [FCS]
▼ show more 106 files
1. Basic Terminologies.mp4
MP4
40.4 MB
1. Basic Terminologies.srt
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9.5 KB
1. Building Neural Network for Regression Problem.mp4
MP4
155.9 MB
1. Building Neural Network for Regression Problem.srt
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21.9 KB
1. CNN Introduction.mp4
MP4
51.2 MB
1. CNN Introduction.srt
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7.8 KB
1. CNN model in Python - Preprocessing.mp4
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40.6 MB
1. CNN model in Python - Preprocessing.srt
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5.5 KB
1. Comparison - Pooling vs Without Pooling in Python.mp4
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58 MB
1. Comparison - Pooling vs Without Pooling in Python.srt
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5.3 KB
1. Dataset for classification.mp4
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56.2 MB
1. Dataset for classification.srt
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7.2 KB
1. Different ways to create ANN using Keras.mp4
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10.8 MB
1. Different ways to create ANN using Keras.srt
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1.9 KB
1. Hyperparameter Tuning.mp4
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60.7 MB
1. Hyperparameter Tuning.srt
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9.4 KB
1. Hyperparameters.mp4
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45.4 MB
1. Hyperparameters.srt
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8.9 KB
1. ILSVRC.mp4
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20.9 MB
1. ILSVRC.srt
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4.4 KB
1. Installing Python and Anaconda.mp4
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16.3 MB
1. Installing Python and Anaconda.srt
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2.6 KB
1. Introduction.mp4
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22.6 MB
1. Introduction.srt
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3.6 KB
1. Keras and Tensorflow.mp4
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14.9 MB
1. Keras and Tensorflow.srt
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3.6 KB
1. Perceptron.mp4
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44.8 MB
1. Perceptron.srt
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9.7 KB
1. Project - Data Augmentation Preprocessing.mp4
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41.4 MB
1. Project - Data Augmentation Preprocessing.srt
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6.7 KB
1. Project - Introduction.mp4
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49.4 MB
1. Project - Introduction.srt
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7.1 KB
1. Project - Transfer Learning - VGG16.mp4
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129.1 MB
1. Project - Transfer Learning - VGG16.srt
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18.9 KB
1. Saving - Restoring Models and Using Callbacks.mp4
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151.6 MB
1. Saving - Restoring Models and Using Callbacks.srt
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18.8 KB
1. Some Important Concepts.mp4
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62.2 MB
1. Some Important Concepts.srt
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13.1 KB
1. The final milestone!.mp4
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11.9 MB
1. The final milestone!.srt
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1.7 KB
1. Using Functional API for complex architectures.mp4
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92.2 MB
1. Using Functional API for complex architectures.srt
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11.9 KB
10. Working with Seaborn Library of Python.mp4
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40.4 MB
10. Working with Seaborn Library of Python.srt
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7.5 KB
2. Activation Functions.mp4
MP4
34.6 MB
2. Activation Functions.srt
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7.9 KB
2. Building the Neural Network using Keras.mp4
MP4
79.1 MB
2. Building the Neural Network using Keras.srt
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12 KB
2. CNN model in Python - structure and Compile.mp4
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43.3 MB
2. CNN model in Python - structure and Compile.srt
SRT
6.7 KB
2. Congratulations & About your certificate.html
HTML
1.6 KB
2. Course Resources.html
HTML
307.2 B
2. Data for the project.html
HTML
204.8 B
2. Gradient Descent.mp4
MP4
60.3 MB
2. Gradient Descent.srt
SRT
11.9 KB
2. Installing Tensorflow and Keras.mp4
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20.1 MB
2. Installing Tensorflow and Keras.srt
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3.8 KB
2. LeNET.mp4
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7 MB
2. LeNET.srt
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1.6 KB
2. Normalization and Test-Train split.mp4
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44.2 MB
2. Normalization and Test-Train split.srt
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5.7 KB
2. Project - Data Augmentation Training and Results.mp4
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53.1 MB
2. Project - Data Augmentation Training and Results.srt
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6.4 KB
2. Quiz.html
HTML
204.8 B
2. Stride.mp4
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16.6 MB
2. Stride.srt
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2.7 KB
2. This is a milestone!.mp4
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20.7 MB
2. This is a milestone!.srt
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3.8 KB
2.1 Dataset.html
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102.4 B
3. Back Propagation.mp4
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122.2 MB
3. Back Propagation.srt
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22.8 KB
3. CNN model in Python - Training and results.mp4
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55.1 MB
3. CNN model in Python - Training and results.srt
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6.1 KB
3. Compiling and Training the Neural Network model.mp4
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81.7 MB
3. Compiling and Training the Neural Network model.srt
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9.6 KB
3. More about test-train split.html
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512 B
3. Opening Jupyter Notebook.mp4
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65.2 MB
3. Opening Jupyter Notebook.srt
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9.1 KB
3. Padding.mp4
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31.6 MB
3. Padding.srt
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4.6 KB
3. Project - Data Preprocessing in Python.mp4
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71.9 MB
3. Project - Data Preprocessing in Python.srt
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8.6 KB
3. Python - Creating Perceptron model.mp4
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86.6 MB
3. Python - Creating Perceptron model.srt
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14.5 KB
3. VGG16NET.mp4
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10.4 MB
3. VGG16NET.srt
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1.9 KB
4. Evaluating performance and Predicting using Keras.mp4
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70 MB
4. Evaluating performance and Predicting using Keras.srt
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9 KB
4. Filters and Feature maps.mp4
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52.7 MB
4. Filters and Feature maps.srt
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6.5 KB
4. GoogLeNet.mp4
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21.4 MB
4. GoogLeNet.srt
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3 KB
4. Introduction to Jupyter.mp4
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40.9 MB
4. Introduction to Jupyter.srt
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12.3 KB
4. Project - Training CNN model in Python.mp4
MP4
66 MB
4. Project - Training CNN model in Python.srt
SRT
8.7 KB
4. Quiz.html
HTML
204.8 B
5. Arithmetic operators in Python Python Basics.mp4
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12.7 MB
5. Arithmetic operators in Python Python Basics.srt
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4 KB
5. Channels.mp4
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67.7 MB
5. Channels.srt
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5.9 KB
5. Project in Python - model results.mp4
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21 MB
5. Project in Python - model results.srt
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2.7 KB
5. Transfer Learning.mp4
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30 MB
5. Transfer Learning.srt
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5.3 KB
6. PoolingLayer.mp4
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46.9 MB
6. PoolingLayer.srt
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5.1 KB
6. Strings in Python Python Basics.mp4
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64.4 MB
6. Strings in Python Python Basics.srt
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16.4 KB
7. Lists, Tuples and Directories Python Basics.mp4
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60.3 MB
7. Lists, Tuples and Directories Python Basics.srt
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17 KB
7. Quiz.html
HTML
204.8 B
8. Working with Numpy Library of Python.mp4
MP4
43.9 MB
8. Working with Numpy Library of Python.srt
SRT
10.5 KB
9. Working with Pandas Library of Python.mp4
MP4
46.9 MB
9. Working with Pandas Library of Python.srt
SRT
8.2 KB
[CourseClub.ME].url
URL
102.4 B
[FCS Forum].url
URL
102.4 B
[FreeCourseSite.com].url
URL
102.4 B
[GigaCourse.Com].url
URL
0 B

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