[DesireCourse.Com] Udemy - Data Science Practical Deep Learning in Theano + TensorFlow
File List
- 09 Project Facial Expression Recognition/028 Class-Based ANN in Theano.mp4 44.0 MB
- 10 Appendix/031 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 43.9 MB
- 09 Project Facial Expression Recognition/029 Class-Based ANN in TensorFlow.mp4 37.4 MB
- 07 GPU Speedup Homework and Other Misc Topics/018 Setting up a GPU Instance on Amazon Web Services.mp4 25.7 MB
- 10 Appendix/032 How to Code by Yourself part 1.mp4 24.5 MB
- 06 TensorFlow/017 Building a neural network in TensorFlow.mp4 23.8 MB
- 08 Modern Regularization Techniques/023 Dropout Regularization.mp4 22.7 MB
- 05 Theano/015 Building a neural network in Theano.mp4 21.8 MB
- 09 Project Facial Expression Recognition/025 Facial Expression Recognition Problem Description.mp4 21.4 MB
- 05 Theano/014 Theano Basics Variables Functions Expressions Optimization.mp4 19.3 MB
- 06 TensorFlow/016 TensorFlow Basics Variables Functions Expressions Optimization.mp4 17.1 MB
- 10 Appendix/033 How to Code by Yourself part 2.mp4 14.8 MB
- 03 Momentum and adaptive learning rates/008 Code for training a neural network using momentum.mp4 14.6 MB
- 02 Gradient Descent Full vs Batch vs Stochastic/006 Full vs Batch vs Stochastic Gradient Descent in code.mp4 14.0 MB
- 04 Choosing Hyperparameters/012 Grid Search in Code.mp4 13.8 MB
- 09 Project Facial Expression Recognition/027 Utilities walkthrough.mp4 13.5 MB
- 01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/004 Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4 11.1 MB
- 03 Momentum and adaptive learning rates/010 Constant learning rate vs. RMSProp in Code.mp4 11.0 MB
- 09 Project Facial Expression Recognition/026 The class imbalance problem.mp4 10.1 MB
- 07 GPU Speedup Homework and Other Misc Topics/022 Theano vs. TensorFlow.mp4 9.1 MB
- 01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/003 How to Succeed in this Course.mp4 8.8 MB
- 04 Choosing Hyperparameters/013 Random Search in Code.mp4 7.9 MB
- 07 GPU Speedup Homework and Other Misc Topics/021 How to Improve your Theano and Tensorflow Skills.mp4 7.3 MB
- 10 Appendix/030 Manually Choosing Learning Rate and Regularization Penalty.mp4 7.1 MB
- 08 Modern Regularization Techniques/024 Dropout Intuition.mp4 6.1 MB
- 01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/002 Where does this course fit into your deep learning studies.mp4 6.0 MB
- 02 Gradient Descent Full vs Batch vs Stochastic/005 What are full batch and stochastic gradient descent.mp4 5.8 MB
- 04 Choosing Hyperparameters/011 Hyperparameter Optimization Cross-validation Grid Search and Random Search.mp4 5.5 MB
- 07 GPU Speedup Homework and Other Misc Topics/019 Can Big Data be used to Speed Up Backpropagation.mp4 5.2 MB
- 03 Momentum and adaptive learning rates/009 Variable and adaptive learning rates.mp4 5.1 MB
- 07 GPU Speedup Homework and Other Misc Topics/020 Exercises and Concepts Still to be Covered.mp4 4.5 MB
- 03 Momentum and adaptive learning rates/007 Momentum.mp4 3.2 MB
- [DesireCourse.Com].txt 754 bytes
- [DesireCourse.Com].url 51 bytes
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