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7. Class Activation Maps/2. Class Activation Maps (Code).mp4 109.9 MB
10. Basics Review/2. (Review) Tensorflow Neural Network in Code.mp4 102.0 MB
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9. Object Localization Project/16. Localization Code (pt 7).mp4 80.9 MB
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5. Object Detection (SSD RetinaNet)/11. RetinaNet with Custom Dataset (pt 2).mp4 63.5 MB
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7. Class Activation Maps/1. Class Activation Maps (Theory).mp4 56.0 MB
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[DesireCourse.Com] Udemy - Deep Learning Recurrent Neural Networks in Python

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04 Advanced RNN Units/030 Learning from Wikipedia Data in Code part 1.mp4 51.1 MB
03 Recurrent Neural Networks for NLP/021 Classifying Poetry in Code.mp4 48.1 MB
07 Appendix/036 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
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04 Advanced RNN Units/029 Alternative to Wikipedia Data Brown Corpus.mp4 13.1 MB
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[DesireCourse.Com] Udemy - Data Science Practical Deep Learning in Theano + TensorFlow

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10 Appendix/031 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
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07 GPU Speedup Homework and Other Misc Topics/018 Setting up a GPU Instance on Amazon Web Services.mp4 26.9 MB
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06 TensorFlow/017 Building a neural network in TensorFlow.mp4 25.0 MB
08 Modern Regularization Techniques/023 Dropout Regularization.mp4 23.8 MB
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06 TensorFlow/016 TensorFlow Basics Variables Functions Expressions Optimization.mp4 17.9 MB
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03 Momentum and adaptive learning rates/008 Code for training a neural network using momentum.mp4 15.3 MB
02 Gradient Descent Full vs Batch vs Stochastic/006 Full vs Batch vs Stochastic Gradient Descent in code.mp4 14.7 MB
04 Choosing Hyperparameters/012 Grid Search in Code.mp4 14.4 MB
09 Project Facial Expression Recognition/027 Utilities walkthrough.mp4 14.1 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/004 Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4 11.7 MB
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