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