Modern Deep Learning in Python

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Modern Deep Learning in Python

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Modern Deep Learning in Python
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1. Batch Normalization Introduction-en_US.srt
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1. Batch Normalization Introduction.mp4
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1. Facial Expression Recognition Project Introduction-en_US.srt
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1. Facial Expression Recognition Project Introduction.mp4
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1. How to Code by Yourself (part 1)-en_US.srt
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1. How to Code by Yourself (part 1).mp4
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1. How to Succeed in this Course (Long Version)-en_US.srt
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1. How to Succeed in this Course (Long Version).mp4
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1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search-en_US.srt
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1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search.mp4
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1. Introduction and Outline-en_US.srt
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1. Introduction and Outline.mp4
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1. Keras Discussion-en_US.srt
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1. Keras Discussion.mp4
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1. Modern Regularization Techniques Section Introduction-en_US.srt
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1. Modern Regularization Techniques Section Introduction.mp4
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1. PyTorch Basics-en_US.srt
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1. PyTorch Basics.mp4
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1. PyTorch, CNTK, and MXNet-en_US.srt
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1. PyTorch, CNTK, and MXNet.mp4
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1. Review (pt 1) Neuron Predictions-en_US.srt
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1. Review (pt 1) Neuron Predictions.mp4
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1. Setting up a GPU Instance on Amazon Web Services-en_US.srt
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1. Setting up a GPU Instance on Amazon Web Services.mp4
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1. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Theory)-en_US.srt
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1. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Theory).mp4
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1. TensorFlow Basics Variables, Functions, Expressions, Optimization-en_US.srt
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1. TensorFlow Basics Variables, Functions, Expressions, Optimization.mp4
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1. Theano Basics Variables, Functions, Expressions, Optimization-en_US.srt
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1. Transition to the 2nd Half of the Course-en_US.srt
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1. Transition to the 2nd Half of the Course.mp4
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1. Using Momentum to Speed Up Training-en_US.srt
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1. Using Momentum to Speed Up Training.mp4
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1. Weight Initialization Section Introduction-en_US.srt
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1. Weight Initialization Section Introduction.mp4
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1. What is the Appendix-en_US.srt
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1. What is the Appendix.mp4
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1. What's the difference between neural networks and deep learning-en_US.srt
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1. What's the difference between neural networks and deep learning.mp4
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1. Windows-Focused Environment Setup 2018-en_US.srt
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1. Theano Basics Variables, Functions, Expressions, Optimization.mp4
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1. Windows-Focused Environment Setup 2018.mp4
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2. BONUS Where to get discount coupons and FREE deep learning material-en_US.srt
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2. BONUS Where to get discount coupons and FREE deep learning material.mp4
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2. Building a neural network in TensorFlow-en_US.srt
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2. Building a neural network in TensorFlow.mp4
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2. Building a neural network in Theano-en_US.srt
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2. Building a neural network in Theano.mp4
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2. Dropout Regularization-en_US.srt
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2. Dropout Regularization.mp4
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2. Exponentially-Smoothed Averages-en_US.srt
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2. Exponentially-Smoothed Averages.mp4
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2. External URLs.txt
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2. Facial Expression Recognition Problem Description-en_US.srt
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2. Facial Expression Recognition Problem Description.mp4
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2. How to Code by Yourself (part 2)-en_US.srt
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2. How to Code by Yourself (part 2).mp4
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2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow-en_US.srt
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2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
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2. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer-en_US.srt
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2. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4
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2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced-en_US.srt
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2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
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2. Keras in Code-en_US.srt
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2. Keras in Code.mp4
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2. Manually Choosing Learning Rate and Regularization Penalty-en_US.srt
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2. Manually Choosing Learning Rate and Regularization Penalty.mp4
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2. Review (pt 2) Neuron Learning.mp4
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2. Nesterov Momentum-en_US.srt
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2. Nesterov Momentum.mp4
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2. PyTorch Dropout-en_US.srt
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2. PyTorch Dropout.mp4
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2. Review (pt 2) Neuron Learning-en_US.srt
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2. SGD Exercise Prompt-en_US.srt
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2. SGD Exercise Prompt.mp4
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2. Sampling Logarithmically-en_US.srt
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2. Sampling Logarithmically.mp4
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2. Vanishing and Exploding Gradients-en_US.srt
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2. Vanishing and Exploding Gradients.mp4
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2. Where to get the Code-en_US.srt
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2. Where to get the Code.mp4
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3. Batch Normalization Theory-en_US.srt
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3. Batch Normalization Theory.mp4
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3. Can Big Data be used to Speed Up Backpropagation-en_US.srt
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3. Can Big Data be used to Speed Up Backpropagation.mp4
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3. Dropout Intuition-en_US.srt
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3. Dropout Intuition.mp4
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3. Grid Search in Code-en_US.srt
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3. Grid Search in Code.mp4
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3. How to Succeed in this Course-en_US.srt
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3. How to Succeed in this Course.mp4
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3. Is Theano Dead-en_US.srt
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3. Is Theano Dead.mp4
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3. Keras Functional API-en_US.srt
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3. Keras Functional API.mp4
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3. Machine Learning and AI Prerequisite Roadmap (pt 1)-en_US.srt
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3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4
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3. Momentum in Code-en_US.srt
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3. Momentum in Code.mp4
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3. Proof that using Jupyter Notebook is the same as not using it-en_US.srt
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3. Proof that using Jupyter Notebook is the same as not using it.mp4
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3. PyTorch Batch Norm-en_US.srt
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3. PyTorch Batch Norm.mp4
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3. Review (pt 3) Artificial Neural Networks-en_US.srt
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3. Review (pt 3) Artificial Neural Networks.mp4
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3. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Code pt 1)-en_US.srt
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3. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Code pt 1).mp4
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3. The class imbalance problem-en_US.srt
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3. The class imbalance problem.mp4
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3. Weight Initialization-en_US.srt
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3. Weight Initialization.mp4
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3. What is a Session (And more)-en_US.srt
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3. What is a Session (And more).mp4
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4. Batch Normalization Tensorflow (part 1)-en_US.srt
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4. Batch Normalization Tensorflow (part 1).mp4
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4. Exercises and Concepts Still to be Covered-en_US.srt
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4. Exercises and Concepts Still to be Covered.mp4
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4. How to Uncompress a .tar.gz file-en_US.srt
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4. How to Uncompress a .tar.gz file.mp4
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4. How to easily convert Keras into Tensorflow 2.0 code-en_US.srt
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4. How to easily convert Keras into Tensorflow 2.0 code.mp4
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4. Local vs. Global Minima-en_US.srt
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4. Modifying Grid Search-en_US.srt
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4. Local vs. Global Minima.mp4
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4. Machine Learning and AI Prerequisite Roadmap (pt 2)-en_US.srt
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4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4
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4. Modifying Grid Search.mp4
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4. Noise Injection-en_US.srt
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4. Noise Injection.mp4
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4. Review Exercise Prompt-en_US.srt
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4. Review Exercise Prompt.mp4
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4. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Code pt 2)-en_US.srt
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4. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Code pt 2).mp4
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4. Utilities walkthrough-en_US.srt
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4. Utilities walkthrough.mp4
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4. Variable and adaptive learning rates-en_US.srt
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4. Variable and adaptive learning rates.mp4
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5. Batch Normalization Tensorflow (part 2)-en_US.srt
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5. Batch Normalization Tensorflow (part 2).mp4
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5. Class-Based ANN in Theano-en_US.srt
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5. Class-Based ANN in Theano.mp4
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5. Constant learning rate vs. RMSProp in Code-en_US.srt
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5. Python 2 vs Python 3.mp4
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5. Constant learning rate vs. RMSProp in Code.mp4
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5. How to Improve your Theano and Tensorflow Skills-en_US.srt
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5. How to Improve your Theano and Tensorflow Skills.mp4
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5. Modern Regularization Techniques Section Summary-en_US.srt
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5. Modern Regularization Techniques Section Summary.mp4
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5. Python 2 vs Python 3-en_US.srt
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5. Random Search in Code-en_US.srt
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5. Random Search in Code.mp4
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5. Review Code (pt 1)-en_US.srt
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5. Review Code (pt 1).mp4
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5. Weight Initialization Section Summary-en_US.srt
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5. Weight Initialization Section Summary.mp4
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6. Adam Optimization (pt 1)-en_US.srt
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6. Adam Optimization (pt 1).mp4
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6. Batch Normalization Theano (part 1)-en_US.srt
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6. Batch Normalization Theano (part 1).mp4
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6. Class-Based ANN in TensorFlow-en_US.srt
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6. Class-Based ANN in TensorFlow.mp4
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6. Review Code (pt 2)-en_US.srt
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6. Review Code (pt 2).mp4
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6. Theano vs. TensorFlow-en_US.srt
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6. Theano vs. TensorFlow.mp4
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7. Adam Optimization (pt 2)-en_US.srt
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7. Adam Optimization (pt 2).mp4
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7. Batch Normalization Theano (part 2)-en_US.srt
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7. Batch Normalization Theano (part 2).mp4
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7. Facial Expression Recognition Project Summary-en_US.srt
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7. Facial Expression Recognition Project Summary.mp4
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7. Review Summary-en_US.srt
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7. Review Summary.mp4
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8. Adam in Code-en_US.srt
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8. Adam in Code.mp4
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8. Noise Perspective-en_US.srt
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8. Noise Perspective.mp4
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9. Batch Normalization Summary-en_US.srt
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9. Batch Normalization Summary.mp4
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9. Suggestion Box-en_US.srt
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9. Suggestion Box.mp4
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TutsNode.com.txt
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[TGx]Downloaded from torrentgalaxy.to .txt
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