[FreeTutorials.Us] data-science-deep-learning-in-python

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[FreeTutorials.Us] data-science-deep-learning-in-python

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种子哈希：0ea15e44267ac451b47828b54d499161c0dfb162
文件大小：722.02M
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收录时间：2020-02-18
最近下载：2025-10-14

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文件列表

  • 03 Training a neural network/026 Backpropagation in code.mp4 48.6 MB
  • 07 Appendix/054 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
  • 05 TensorFlow exercises practice and what to learn next/040 Visualizing what a neural network has learned using TensorFlow Playground.mp4 45.3 MB
  • 02 Classifying more than 2 things at a time/011 Feedforward in Slow-Mo part 1.mp4 31.8 MB
  • 06 Project Facial Expression Recognition/048 Facial Expression Recognition in Code Binary Sigmoid.mp4 26.4 MB
  • 07 Appendix/055 How to Code by Yourself part 1.mp4 25.7 MB
  • 06 Project Facial Expression Recognition/050 Facial Expression Recognition in Code ANN Softmax.mp4 24.6 MB
  • 06 Project Facial Expression Recognition/045 Facial Expression Recognition Problem Description.mp4 22.5 MB
  • 03 Training a neural network/028 E-Commerce Course Project Training Logistic Regression with Softmax.mp4 21.2 MB
  • 06 Project Facial Expression Recognition/049 Facial Expression Recognition in Code Logistic Regression Softmax.mp4 20.7 MB
  • 03 Training a neural network/023 Backpropagation Intro.mp4 20.0 MB
  • 07 Appendix/053 Backpropagation with Softmax Troubleshooting.mp4 19.0 MB
  • 02 Classifying more than 2 things at a time/012 Feedforward in Slow-Mo part 2.mp4 17.5 MB
  • 05 TensorFlow exercises practice and what to learn next/039 TensorFlow plug-and-play example.mp4 16.7 MB
  • 03 Training a neural network/029 E-Commerce Course Project Training a Neural Network.mp4 16.2 MB
  • 07 Appendix/056 How to Code by Yourself part 2.mp4 15.5 MB
  • 01 What is a neural network/005 Introduction to the E-Commerce Course Project.mp4 15.5 MB
  • 03 Training a neural network/021 What do all these symbols and letters mean.mp4 15.3 MB
  • 05 TensorFlow exercises practice and what to learn next/044 Deep neural networks in just 3 lines of code with Sci-Kit Learn.mp4 14.8 MB
  • 04 Practical Machine Learning/034 Donut and XOR Revisited.mp4 14.6 MB
  • 02 Classifying more than 2 things at a time/015 Building an entire feedforward neural network in Python.mp4 14.5 MB
  • 06 Project Facial Expression Recognition/047 Utilities walkthrough.mp4 14.1 MB
  • 02 Classifying more than 2 things at a time/008 Interpreting the Weights of a Neural Network.mp4 13.1 MB
  • 03 Training a neural network/025 Backpropagation - recursiveness.mp4 11.7 MB
  • 02 Classifying more than 2 things at a time/016 E-Commerce Course Project Pre-Processing the Data.mp4 11.7 MB
  • 03 Training a neural network/024 Backpropagation - what does the weight update depend on.mp4 10.6 MB
  • 06 Project Facial Expression Recognition/046 The class imbalance problem.mp4 10.6 MB
  • 03 Training a neural network/022 What does it mean to train a neural network.mp4 10.2 MB
  • 04 Practical Machine Learning/038 Practical Issues Section Summary.mp4 10.1 MB
  • 05 TensorFlow exercises practice and what to learn next/043 How to get good at deep learning exercises.mp4 9.9 MB
  • 02 Classifying more than 2 things at a time/006 Prediction Section Introduction and Outline.mp4 9.4 MB
  • 01 What is a neural network/003 Deep Learning Readiness Test.mp4 9.0 MB
  • 02 Classifying more than 2 things at a time/007 From Logistic Regression to Neural Networks.mp4 9.0 MB
  • 01 What is a neural network/002 Where does this course fit into your deep learning studies.mp4 8.9 MB
  • 07 Appendix/051 Gradient Descent Tutorial.mp4 8.8 MB
  • 03 Training a neural network/030 Training Quiz.mp4 8.7 MB
  • 05 TensorFlow exercises practice and what to learn next/042 You know more than you think you know.mp4 8.6 MB
  • 02 Classifying more than 2 things at a time/014 Softmax in Code.mp4 8.1 MB
  • 02 Classifying more than 2 things at a time/017 E-Commerce Course Project Making Predictions.mp4 7.9 MB
  • 01 What is a neural network/004 Neural Networks with No Math.mp4 7.7 MB
  • 04 Practical Machine Learning/037 Manually Choosing Learning Rate and Regularization Penalty.mp4 7.4 MB
  • 04 Practical Machine Learning/036 Hyperparameters and Cross-Validation.mp4 7.3 MB
  • 03 Training a neural network/027 The WRONG Way to Learn Backpropagation.mp4 7.2 MB
  • 07 Appendix/052 Help with Softmax Derivative.mp4 6.6 MB
  • 01 What is a neural network/001 Introduction and Outline.mp4 6.4 MB
  • 05 TensorFlow exercises practice and what to learn next/041 Where to go from here.mp4 6.3 MB
  • 02 Classifying more than 2 things at a time/018 Prediction Quizzes.mp4 5.3 MB
  • 02 Classifying more than 2 things at a time/009 Softmax.mp4 4.8 MB
  • 03 Training a neural network/020 Training Section Introduction and Outline.mp4 4.6 MB
  • 03 Training a neural network/031 Training Section Summary.mp4 4.3 MB
  • 02 Classifying more than 2 things at a time/013 Where to get the code for this course.mp4 3.1 MB
  • 02 Classifying more than 2 things at a time/019 Prediction Section Summary.mp4 3.0 MB
  • 04 Practical Machine Learning/032 Practical Issues Section Introduction and Outline.mp4 2.9 MB
  • 02 Classifying more than 2 things at a time/010 Sigmoid vs. Softmax.mp4 2.5 MB
  • 04 Practical Machine Learning/035 Common nonlinearities and their derivatives.mp4 2.5 MB
  • 04 Practical Machine Learning/033 Donut and XOR Review.mp4 1.9 MB
  • Freetutorials.us.url 119 Bytes
  • [FreeTutorials.us].txt 75 Bytes

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