download скачать Free download скачать : Deep Learning From Scratch In Python
mp4 | Video: h264,1920X1080 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:1.44 GB
Files Included :
1 - Introduction.mp4 (104.21 MB)
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2 - Intuition about FullyConnected Networks.mp4 (68.82 MB)
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3 - Gradient Descent Algorithms.mp4 (37.32 MB)
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4 - Training Validation and Testing.mp4 (35.39 MB)
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33 - The YOLO Algorithm.mp4 (101.47 MB)
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34 - cnn-yolo.zip (40.24 KB)
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34 - Testing the YOLO Algorithm.mp4 (72.17 MB)
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34 - yolo-model-16examples-overfit.zip (22.77 MB)
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5 - Python for CNNs.mp4 (75.37 MB)
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6 - Working with Lists and Tuples.mp4 (14.81 MB)
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7 - Working with NumPy Arrays.mp4 (57.44 MB)
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8 - ObjectOriented Programming.mp4 (14.27 MB)
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10 - The Product Quotient and Power Rules.mp4 (9.65 MB)
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11 - Derivatives by the Chain Rule.mp4 (10.19 MB)
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9 - The Derivative of a Function.mp4 (41.67 MB)
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12 - Backpropagation in FullyConnected Networks.mp4 (118.49 MB)
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13 - The Softmax Activation Function.mp4 (12.24 MB)
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14 - The CrossEntropy Cost Function.mp4 (5.13 MB)
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15 - Backpropagation in the Output Layer.mp4 (21.33 MB)
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16 - Introduction to Convolutional Networks.mp4 (60.51 MB)
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17 - Convolutions Theory.mp4 (25.26 MB)
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18 - Convolutions Implementing an Edge Detector.mp4 (21.46 MB)
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19 - Downsampling through Max Pooling.mp4 (7 MB)
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20 - Backpropagation in Convolutional Layers.mp4 (99.13 MB)
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21 - Backpropagation in Pooling Layers.mp4 (9.13 MB)
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22 - Defining a Convolutional Model.mp4 (87.62 MB)
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23 - The MNIST Dataset.mp4 (44.26 MB)
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24 - Filter Visualization.mp4 (49.59 MB)
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25 - What is Transfer Learning.mp4 (28.86 MB)
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26 - FullyConvolutional Implementation.mp4 (30.41 MB)
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27 - 9-27-cnn-vanish-grad.zip (11.08 MB)
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27 - The Vanishing Gradient and Dying ReLU Problems.mp4 (31.87 MB)
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28 - Parameters Initialization.mp4 (13.13 MB)
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29 - Learning Rate Decay.mp4 (15.32 MB)
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30 - The Adam Optimizer.mp4 (20.15 MB)
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31 - 9-31-test-mnist.zip (38.91 KB)
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31 - Testing the Optimized Model on MNIST.mp4 (81.98 MB)
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32 - 9-32-test-cifar10.zip (39.18 KB)
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32 - overfit-model-cifar10.zip (1.14 MB)
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32 - Testing the Optimized Model on CIFAR10.mp4 (12.51 MB)
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https://rapidgator.net/file/31d130f22f347225fd3f68f61072101b/Deep_Learning_From_Scratch_In_Python.zip
https://ddownload.com/vi45jpsi1fb5/Deep_Learning_From_Scratch_In_Python.zip
