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~Get Your Files Here !/Chapter 6 Gradient Descent in CNNs/020. Implementation in NumPy BackwardPass 5.mp4 84.8 MB
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~Get Your Files Here !/Chapter 5 Deep Neural Network Architecture/010. NonVectorized Implementations of Conv2d and Pool2d.mp4 72.6 MB
~Get Your Files Here !/Chapter 2 Image Processing/026. Implementation of Image Blurring Edge Detection Image Sharpening in Python.mp4 68.2 MB
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~Get Your Files Here !/8. Lecture 8 Backpropagation Algorithm.mp4 114.4 MB
~Get Your Files Here !/10. Lecture 10 Vanishing Gradient Problem.mp4 96.9 MB
~Get Your Files Here !/7. Lecture 7 Memoization.mp4 92.7 MB
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~Get Your Files Here !/1. Introduction to Biological Neuron.mp4 41.9 MB
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~Get Your Files Here !/3. Lecture 3 Multi Layered Perceptron.mp4 21.5 MB
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~Get Your Files Here !/5. Mocking and Unit Testing on Web API/8. Service Level Testing -- Save Method Using MOQ.mp4 129.5 MB
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~Get Your Files Here !/3. Test Doubles --- Fakes, Stubs and Mocks/5. Practical demo with Stubs.mp4 35.1 MB
~Get Your Files Here !/7. Bonus Lecture/1. Tips of write a unit test case.mp4 34.6 MB
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~Get Your Files Here !/2. Word Embeddings/7. Cross-lingual word embedding models.mp4 165.0 MB
~Get Your Files Here !/2. Word Embeddings/6. GloVe.mp4 113.1 MB
~Get Your Files Here !/2. Word Embeddings/5. Sampling-based approximations for softmax.mp4 107.5 MB
~Get Your Files Here !/1. Multi-Layered Perceptrons (MLPs)/3. Artificial neuron activationintegration function, softmax, perceptron.mp4 90.7 MB
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~Get Your Files Here !/1. Multi-Layered Perceptrons (MLPs)/6. How does back-propagation work.mp4 39.5 MB
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~Get Your Files Here !/1. Multi-Layered Perceptrons (MLPs)/2. Why do we need Artificial Neural Networks (ANNs).mp4 30.4 MB
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[ DevCourseWeb.com ] Udemy - Hands On Python Course for Deep Learning in Computer Vision

~Get Your Files Here !/2. Task 1, Part 1 The Cats v Dogs Binary Classification Computer Vision Task/2. Task 1, Part 2.mp4 329.5 MB
~Get Your Files Here !/2. Task 1, Part 1 The Cats v Dogs Binary Classification Computer Vision Task/3. Task 1, Part 3.mp4 224.1 MB
~Get Your Files Here !/4. Task 3 Using Python for transfer learning on the Caltech-101 Vision Dataset/2. Task 3, Part 2.mp4 206.9 MB
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