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Deep Learning with TensorFlow 2.0

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种子名称: Deep Learning with TensorFlow 2.0
文件类型: 视频
文件数目: 93个文件
文件大小: 1.86 GB
收录时间: 2021-1-9 09:55
已经下载: 3
资源热度: 93
最近下载: 2024-11-15 07:01

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Deep Learning with TensorFlow 2.0.torrent
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/104 Why is Linear Algebra Useful_.mp4144.33MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/01 Welcome! Course introduction/001 Meet your instructors and why you should study machine learning_.mp4105.78MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/01 Welcome! Course introduction/002 What does the course cover_.mp416.35MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/02 Introduction to neural networks/004 Introduction to neural networks.mp413.55MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/02 Introduction to neural networks/005 Training the model.mp48.81MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/02 Introduction to neural networks/006 Types of machine learning.mp412.2MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/02 Introduction to neural networks/007 The linear model.mp49.12MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/02 Introduction to neural networks/009 The linear model. Multiple inputs.mp47.49MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/02 Introduction to neural networks/010 The linear model. Multiple inputs and multiple outputs.mp438.28MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/02 Introduction to neural networks/011 Graphical representation.mp46.34MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/02 Introduction to neural networks/012 The objective function.mp45.71MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/02 Introduction to neural networks/013 L2-norm loss.mp47.26MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/02 Introduction to neural networks/014 Cross-entropy loss.mp411.35MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/02 Introduction to neural networks/015 One parameter gradient descent.mp417.76MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/02 Introduction to neural networks/016 N-parameter gradient descent.mp439.45MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/03 Setting up the working environment/017 Setting up the environment - An introduction - Do not skip, please!.mp45.95MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/03 Setting up the working environment/018 Why Python and why Jupyter_.mp432.06MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/03 Setting up the working environment/019 Installing Anaconda.mp428.38MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/03 Setting up the working environment/020 The Jupyter dashboard - part 1.mp48.7MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/03 Setting up the working environment/021 The Jupyter dashboard - part 2.mp418.8MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/03 Setting up the working environment/023 Installing TensorFlow 2.mp438.72MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/04 Minimal example - your first machine learning algorithm/026 Minimal example - part 1.mp46.53MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/04 Minimal example - your first machine learning algorithm/027 Minimal example - part 2.mp410.7MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/04 Minimal example - your first machine learning algorithm/028 Minimal example - part 3.mp49.76MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/04 Minimal example - your first machine learning algorithm/029 Minimal example - part 4.mp420.8MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/05 TensorFlow - An introduction/031 TensorFlow outline.mp433.53MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/05 TensorFlow - An introduction/032 TensorFlow 2 intro.mp421.98MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/05 TensorFlow - An introduction/033 A Note on Coding in TensorFlow.mp46.76MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/05 TensorFlow - An introduction/034 Types of file formats in TensorFlow and data handling.mp416.4MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/05 TensorFlow - An introduction/035 Model layout - inputs, outputs, targets, weights, biases, optimizer and loss.mp434.68MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/05 TensorFlow - An introduction/036 Interpreting the result and extracting the weights and bias.mp430.26MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/05 TensorFlow - An introduction/037 Cutomizing your model.mp422.9MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/06 Going deeper_ Introduction to deep neural networks/039 Layers.mp44.73MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/06 Going deeper_ Introduction to deep neural networks/040 What is a deep net_.mp46.72MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/06 Going deeper_ Introduction to deep neural networks/041 Understanding deep nets in depth.mp413.4MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/06 Going deeper_ Introduction to deep neural networks/042 Why do we need non-linearities_.mp48.95MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/06 Going deeper_ Introduction to deep neural networks/043 Activation functions.mp48.73MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/06 Going deeper_ Introduction to deep neural networks/044 Softmax activation.mp47.37MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/06 Going deeper_ Introduction to deep neural networks/045 Backpropagation.mp411.05MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/06 Going deeper_ Introduction to deep neural networks/046 Backpropagation - visual representation.mp46.84MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/08 Overfitting/048 Underfitting and overfitting.mp411.05MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/08 Overfitting/049 Underfitting and overfitting - classification.mp46.76MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/08 Overfitting/050 Training and validation.mp49.23MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/08 Overfitting/051 Training, validation, and test.mp47.44MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/08 Overfitting/052 N-fold cross validation.mp46.98MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/08 Overfitting/053 Early stopping.mp49.43MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/09 Initialization/054 Initialization - Introduction.mp48.03MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/09 Initialization/055 Types of simple initializations.mp45.61MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/09 Initialization/056 Xavier initialization.mp45.82MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/10 Gradient descent and learning rates/057 Stochastic gradient descent.mp49.38MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/10 Gradient descent and learning rates/058 Gradient descent pitfalls.mp44.3MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/10 Gradient descent and learning rates/059 Momentum.mp46.1MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/10 Gradient descent and learning rates/060 Learning rate schedules.mp410.3MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/10 Gradient descent and learning rates/061 Learning rate schedules. A picture.mp43.14MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/10 Gradient descent and learning rates/062 Adaptive learning rate schedules.mp48.86MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/10 Gradient descent and learning rates/063 Adaptive moment estimation.mp47.77MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/11 Preprocessing/064 Preprocessing introduction.mp48.42MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/11 Preprocessing/065 Basic preprocessing.mp43.65MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/11 Preprocessing/066 Standardization.mp48.32MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/11 Preprocessing/067 Dealing with categorical data.mp46.07MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/11 Preprocessing/068 One-hot and binary encoding.mp46.24MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/12 The MNIST example/069 The dataset.mp413.37MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/12 The MNIST example/070 How to tackle the MNIST.mp418.67MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/12 The MNIST example/071 Importing the relevant packages and load the data.mp416.32MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/12 The MNIST example/072 Preprocess the data - create a validation dataset and scale the data.mp429.05MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/12 The MNIST example/074 Preprocess the data - shuffle and batch the data.mp441.54MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/12 The MNIST example/076 Outline the model.mp428.24MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/12 The MNIST example/077 Select the loss and the optimizer.mp413.89MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/12 The MNIST example/078 Learning.mp440.95MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/12 The MNIST example/081 Testing the model.mp429.54MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/13 Business case/082 Exploring the dataset and identifying predictors.mp466.26MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/13 Business case/083 Outlining the business case solution.mp47.31MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/13 Business case/084 Balancing the dataset.mp430.44MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/13 Business case/085 Preprocessing the data.mp484.29MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/13 Business case/087 Load the preprocessed data.mp417.56MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/13 Business case/089 Learning and interpreting the result.mp431.15MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/13 Business case/090 Setting an early stopping mechanism.mp449.81MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/13 Business case/092 Testing the model.mp410.8MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/094 What is a Matrix_.mp433.59MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/095 Scalars and Vectors.mp433.84MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/096 Linear Algebra and Geometry.mp449.79MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/097 Scalars, Vectors and Matrices in Python.mp426.66MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/098 Tensors.mp422.51MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/099 Addition and Subtraction of Matrices.mp432.6MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/100 Errors when Adding Matrices.mp411.16MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/101 Transpose of a Matrix.mp438.08MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/102 Dot Product of Vectors.mp423.98MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/103 Dot Product of Matrices.mp449.38MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/15 Conclusion/105 See how much you have learned.mp413.95MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/15 Conclusion/106 What’s further out there in the machine and deep learning world.mp46.26MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/15 Conclusion/107 An overview of CNNs.mp410.92MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/15 Conclusion/109 An overview of RNNs.mp44.86MB
  • [TutsNode.com] - Deep Learning with TensorFlow 2.0/15 Conclusion/110 An overview of non-NN approaches.mp47.84MB