Modern Deep Learning in Python 2017-12 - 短剧搜 - 免费资源搜索平台，网盘资源

• file:README.md
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• file:029 Class-Based ANN in TensorFlow.mp4
• file:027 Utilities walkthrough.mp4
• file:026 The class imbalance problem.mp4
• file:025 Facial Expression Recognition Problem Description.mp4
• file:024 Dropout Intuition.mp4
• file:022 Theano vs. TensorFlow.mp4
• file:021 How to Improve your Theano and Tensorflow Skills.mp4
• file:020 Exercises and Concepts Still to be Covered.mp4
• file:019 Can Big Data be used to Speed Up Backpropagation.mp4
• file:018 Setting up a GPU Instance on Amazon Web Services.mp4
• file:017 Building a neural network in TensorFlow.mp4
• file:016 TensorFlow Basics Variables Functions Expressions Optimization.mp4
• file:013 Random Search in Code.mp4
• file:011 Hyperparameter Optimization Cross-validation Grid Search and Random Search.mp4
• file:010 Constant learning rate vs. RMSProp in Code.mp4
• file:009 Variable and adaptive learning rates.mp4
• file:008 Code for training a neural network using momentum.mp4
• file:007 Momentum.mp4
• file:006 Full vs Batch vs Stochastic Gradient Descent in code.mp4
• file:005 What are full batch and stochastic gradient descent.mp4
• file:004 Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4
• file:003 How to Succeed in this Course.mp4
• file:002 Where does this course fit into your deep learning studies.mp4
• file:001 Outline - what did you learn previously and what will you learn in this course.mp4
• file:6. AB Test Gotchas.srt
• file:5. Determining How Long to Run an Experiment.srt
• file:4. [Activity] Hands-on With T-Tests.srt
• file:3. T-Tests and P-Values.srt
• file:1. Deploying Models to Real-Time Systems.srt
• file:9. Handling Unbalanced Data Oversampling, Undersampling, and SMOTE.srt
• file:8. Imputation Techniques for Missing Data.srt
• file:7. Feature Engineering and the Curse of Dimensionality.srt
• file:6. [Activity] Detecting outliers.srt
• file:5. Normalizing numerical data.srt