[FreeAllCourse.Com] Udemy - Complete Tensorflow 2 and Keras Deep Learning Bootcamp - 磁力狗

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文档列表

01 Course Overview Installs and Setup/002 Course Setup and Installation.mp4 159.8 MB
13 Deployment/114 Flask Front End.mp4 156.9 MB
09 Recurrent Neural Networks - RNNs/088 Bonus - Multivariate Time Series - RNN and LSTMs.mp4 156.6 MB
09 Recurrent Neural Networks - RNNs/087 RNN Exercise - Solutions.mp4 155.3 MB
07 Basic Artificial Neural Networks - ANNs/057 Tensorboard.mp4 151.2 MB
07 Basic Artificial Neural Networks - ANNs/050 Keras Project Solutions - Exploratory Data Analysis.mp4 150.6 MB
07 Basic Artificial Neural Networks - ANNs/042 Keras Regression Code Along - Exploratory Data Analysis.mp4 143.7 MB
12 Generative Adversarial Networks/106 Creating a GAN - Part Three - Model Training.mp4 138.0 MB
09 Recurrent Neural Networks - RNNs/085 RNN on a Time Series - Part Two.mp4 137.4 MB
13 Deployment/115 Live Deployment to the Web.mp4 132.7 MB
07 Basic Artificial Neural Networks - ANNs/053 Keras Project Solutions - Categorical Data.mp4 131.1 MB
11 AutoEncoders/098 Autoencoder for Dimensionality Reduction.mp4 123.2 MB
07 Basic Artificial Neural Networks - ANNs/047 Keras Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
01 Course Overview Installs and Setup/002 FINAL-TF2-FILES.zip 104.1 MB
01 Course Overview Installs and Setup/003 FINAL-TF2-FILES.zip 104.1 MB
08 Convolutional Neural Networks - CNNs/064 CNN on MNIST - Part Two - Creating and Training the Model.mp4 103.7 MB
07 Basic Artificial Neural Networks - ANNs/051 Keras Project Solutions - Dealing with Missing Data.mp4 101.5 MB
11 AutoEncoders/099 Autoencoder for Images - Part One.mp4 98.7 MB
04 Pandas Crash Course/017 Data Input and Output.mp4 98.0 MB
05 Visualization Crash Course/022 Seaborn Basics.mp4 96.3 MB
08 Convolutional Neural Networks - CNNs/071 CNN on Real Image Files - Part Three - Creating the Model.mp4 95.0 MB
03 NumPy Crash Course/005 NumPy Arrays.mp4 92.9 MB
08 Convolutional Neural Networks - CNNs/070 CNN on Real Image Files - Part Two - Data Processing.mp4 92.2 MB
13 Deployment/109 Creating the Model.mp4 91.3 MB
07 Basic Artificial Neural Networks - ANNs/052 Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 89.5 MB
07 Basic Artificial Neural Networks - ANNs/040 Keras Syntax Basics - Part Two - Creating and Training the Model.mp4 88.7 MB
09 Recurrent Neural Networks - RNNs/082 RNN on a Sine Wave - Creating the Model.mp4 87.9 MB
09 Recurrent Neural Networks - RNNs/083 RNN on a Sine Wave - LSTMs and Forecasting.mp4 87.5 MB
06 Machine Learning Concepts Overview/028 Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
10 Natural Language Processing/092 NLP - Part Three - Creating Batches.mp4 85.7 MB
08 Convolutional Neural Networks - CNNs/069 CNN on Real Image Files - Part One - Reading in the Data.mp4 84.6 MB
07 Basic Artificial Neural Networks - ANNs/049 TensorFlow 2.0 Keras Project Notebook Overview.mp4 84.5 MB
11 AutoEncoders/102 Autoencoder Exercise - Solutions.mp4 81.5 MB
07 Basic Artificial Neural Networks - ANNs/043 Keras Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
07 Basic Artificial Neural Networks - ANNs/036 Cost Functions and Gradient Descent.mp4 79.3 MB
08 Convolutional Neural Networks - CNNs/059 Image Filters and Kernels.mp4 75.9 MB
12 Generative Adversarial Networks/105 Creating a GAN - Part Two - The Model.mp4 73.2 MB
13 Deployment/112 Flask Postman API.mp4 72.5 MB
07 Basic Artificial Neural Networks - ANNs/045 Keras Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
10 Natural Language Processing/094 NLP - Part Five - Training the Model.mp4 68.4 MB
07 Basic Artificial Neural Networks - ANNs/041 Keras Syntax Basics - Part Three - Model Evaluation.mp4 68.1 MB
10 Natural Language Processing/093 NLP - Part Four - Creating the Model.mp4 67.4 MB
08 Convolutional Neural Networks - CNNs/066 CNN on CIFAR-10 - Part One - The Data.mp4 67.4 MB
07 Basic Artificial Neural Networks - ANNs/056 Keras Project Solutions - Model Evaluation.mp4 66.2 MB
07 Basic Artificial Neural Networks - ANNs/034 Activation Functions.mp4 65.6 MB
13 Deployment/111 Running a Basic Flask Application.mp4 65.0 MB
04 Pandas Crash Course/016 Pandas Operations.mp4 64.2 MB
11 AutoEncoders/100 Autoencoder for Images - Part Two - Noise Removal.mp4 63.4 MB
08 Convolutional Neural Networks - CNNs/063 CNN on MNIST - Part One - The Data.mp4 62.7 MB
08 Convolutional Neural Networks - CNNs/060 Convolutional Layers.mp4 60.8 MB
07 Basic Artificial Neural Networks - ANNs/037 Backpropagation.mp4 60.5 MB
12 Generative Adversarial Networks/107 DCGAN - Deep Convolutional Generative Adversarial Networks.mp4 59.9 MB
04 Pandas Crash Course/015 GroupBy Operations.mp4 59.1 MB
07 Basic Artificial Neural Networks - ANNs/046 Keras Classification Code Along - EDA and Preprocessing.mp4 58.9 MB
08 Convolutional Neural Networks - CNNs/074 CNN Exercise Solutions.mp4 58.7 MB
12 Generative Adversarial Networks/103 GANs Overview.mp4 56.5 MB
13 Deployment/110 Model Prediction Function.mp4 55.6 MB
10 Natural Language Processing/095 NLP - Part Six - Generating Text.mp4 54.8 MB
04 Pandas Crash Course/019 Pandas Exercises - Solutions.mp4 54.0 MB
07 Basic Artificial Neural Networks - ANNs/039 Keras Syntax Basics - Part One - Preparing the Data.mp4 53.0 MB
05 Visualization Crash Course/024 Data Visualization Exercises - Solutions.mp4 52.9 MB
09 Recurrent Neural Networks - RNNs/081 RNN on a Sine Wave - Batch Generator.mp4 52.5 MB
03 NumPy Crash Course/007 NumPy Operations.mp4 51.0 MB
03 NumPy Crash Course/009 Numpy Exercises - Solutions.mp4 50.9 MB
07 Basic Artificial Neural Networks - ANNs/032 Perceptron Model.mp4 50.1 MB
08 Convolutional Neural Networks - CNNs/072 CNN on Real Image Files - Part Four - Evaluating the Model.mp4 49.4 MB
07 Basic Artificial Neural Networks - ANNs/044 Keras Regression Code Along - Data Preprocessing and Creating a Model.mp4 49.3 MB
03 NumPy Crash Course/006 Numpy Index Selection.mp4 48.6 MB
07 Basic Artificial Neural Networks - ANNs/035 Multi-Class Classification Considerations.mp4 48.1 MB
08 Convolutional Neural Networks - CNNs/067 CNN on CIFAR-10 - Part Two - Evaluating the Model.mp4 47.5 MB
04 Pandas Crash Course/012 Pandas DataFrames - Part One.mp4 47.4 MB
09 Recurrent Neural Networks - RNNs/084 RNN on a Time Series - Part One.mp4 47.2 MB
04 Pandas Crash Course/014 Pandas Missing Data.mp4 46.2 MB
11 AutoEncoders/097 Autoencoder Basics.mp4 44.7 MB
09 Recurrent Neural Networks - RNNs/078 LSTMS and GRU.mp4 44.0 MB
05 Visualization Crash Course/021 Matplotlib Basics.mp4 43.0 MB
09 Recurrent Neural Networks - RNNs/080 RNN on a Sine Wave - The Data.mp4 42.1 MB
06 Machine Learning Concepts Overview/026 Supervised Learning Overview.mp4 42.0 MB
08 Convolutional Neural Networks - CNNs/065 CNN on MNIST - Part Three - Model Evaluation.mp4 40.3 MB
04 Pandas Crash Course/011 Pandas Series.mp4 39.7 MB
04 Pandas Crash Course/013 Pandas DataFrames - Part Two.mp4 38.8 MB
07 Basic Artificial Neural Networks - ANNs/033 Neural Networks.mp4 37.5 MB
10 Natural Language Processing/089 Introduction to NLP Section.mp4 36.8 MB
11 AutoEncoders/101 Autoencoder Exercise Overview.mp4 35.6 MB
09 Recurrent Neural Networks - RNNs/079 RNN Batches.mp4 34.3 MB
09 Recurrent Neural Networks - RNNs/076 RNN Basic Theory.mp4 31.4 MB
09 Recurrent Neural Networks - RNNs/086 RNN Exercise.mp4 31.4 MB
07 Basic Artificial Neural Networks - ANNs/055 Keras Project Solutions - Creating and Training a Model.mp4 31.2 MB
08 Convolutional Neural Networks - CNNs/068 Downloading Data Set for Real Image Lectures.mp4 29.6 MB
06 Machine Learning Concepts Overview/025 What is Machine Learning.mp4 29.6 MB
09 Recurrent Neural Networks - RNNs/077 Vanishing Gradients.mp4 29.5 MB
08 Convolutional Neural Networks - CNNs/061 Pooling Layers.mp4 29.0 MB
06 Machine Learning Concepts Overview/027 Overfitting.mp4 27.6 MB
01 Course Overview Installs and Setup/001 Course Overview.mp4 27.4 MB
04 Pandas Crash Course/010 Introduction to Pandas.mp4 26.7 MB
07 Basic Artificial Neural Networks - ANNs/054 Keras Project Solutions - Data PreProcessing.mp4 25.1 MB
06 Machine Learning Concepts Overview/029 Evaluating Performance - Regression Error Metrics.mp4 24.8 MB
04 Pandas Crash Course/018 Pandas Exercises.mp4 24.6 MB
13 Deployment/108 Introduction to Deployment.mp4 24.6 MB
10 Natural Language Processing/091 NLP - Part Two - Text Processing.mp4 24.0 MB
05 Visualization Crash Course/023 Data Visualization Exercises.mp4 23.9 MB
10 Natural Language Processing/090 NLP - Part One - The Data.mp4 23.4 MB
08 Convolutional Neural Networks - CNNs/062 MNIST Data Set Overview.mp4 22.1 MB
11 AutoEncoders/096 Introduction to Autoencoders.mp4 21.9 MB
13 Deployment/113 Flask API - Using Requests Programmatically.mp4 20.9 MB
12 Generative Adversarial Networks/104 Creating a GAN - Part One- The Data.mp4 20.1 MB
06 Machine Learning Concepts Overview/030 Unsupervised Learning.mp4 19.7 MB
08 Convolutional Neural Networks - CNNs/073 CNN Exercise Overview.mp4 18.7 MB
03 NumPy Crash Course/008 NumPy Exercises.mp4 12.1 MB
03 NumPy Crash Course/004 Introduction to NumPy.mp4 11.9 MB
09 Recurrent Neural Networks - RNNs/075 RNN Section Overview.mp4 11.4 MB
07 Basic Artificial Neural Networks - ANNs/038 TensorFlow vs. Keras Explained.mp4 11.0 MB
07 Basic Artificial Neural Networks - ANNs/031 Introduction to ANN Section.mp4 10.2 MB
07 Basic Artificial Neural Networks - ANNs/048 TensorFlow 2.0 Keras Project Options Overview.mp4 8.2 MB
08 Convolutional Neural Networks - CNNs/058 CNN Section Overview.mp4 7.9 MB
05 Visualization Crash Course/020 Introduction to Python Visualization.mp4 7.1 MB
01 Course Overview Installs and Setup/002 Course Setup and Installation.en.srt 35.4 kB
12 Generative Adversarial Networks/106 Creating a GAN - Part Three - Model Training.en.srt 35.0 kB
09 Recurrent Neural Networks - RNNs/087 RNN Exercise - Solutions.en.srt 33.0 kB
09 Recurrent Neural Networks - RNNs/085 RNN on a Time Series - Part Two.en.srt 32.2 kB
07 Basic Artificial Neural Networks - ANNs/057 Tensorboard.en.srt 29.4 kB
11 AutoEncoders/098 Autoencoder for Dimensionality Reduction.en.srt 28.7 kB
07 Basic Artificial Neural Networks - ANNs/050 Keras Project Solutions - Exploratory Data Analysis.en.srt 28.5 kB
03 NumPy Crash Course/005 NumPy Arrays.en.srt 28.1 kB
07 Basic Artificial Neural Networks - ANNs/036 Cost Functions and Gradient Descent.en.srt 27.7 kB
13 Deployment/114 Flask Front End.en.srt 26.9 kB
09 Recurrent Neural Networks - RNNs/088 Bonus - Multivariate Time Series - RNN and LSTMs.en.srt 26.5 kB
07 Basic Artificial Neural Networks - ANNs/042 Keras Regression Code Along - Exploratory Data Analysis.en.srt 26.5 kB
07 Basic Artificial Neural Networks - ANNs/053 Keras Project Solutions - Categorical Data.en.srt 25.6 kB
06 Machine Learning Concepts Overview/028 Evaluating Performance - Classification Error Metrics.en.srt 25.3 kB
05 Visualization Crash Course/022 Seaborn Basics.en.srt 25.0 kB
13 Deployment/115 Live Deployment to the Web.en.srt 24.9 kB
07 Basic Artificial Neural Networks - ANNs/047 Keras Classification - Dealing with Overfitting and Evaluation.en.srt 24.5 kB
11 AutoEncoders/099 Autoencoder for Images - Part One.en.srt 24.0 kB
08 Convolutional Neural Networks - CNNs/064 CNN on MNIST - Part Two - Creating and Training the Model.en.srt 23.9 kB
08 Convolutional Neural Networks - CNNs/070 CNN on Real Image Files - Part Two - Data Processing.en.srt 23.5 kB
13 Deployment/109 Creating the Model.en.srt 22.7 kB
08 Convolutional Neural Networks - CNNs/060 Convolutional Layers.en.srt 21.3 kB
09 Recurrent Neural Networks - RNNs/082 RNN on a Sine Wave - Creating the Model.en.srt 21.1 kB
07 Basic Artificial Neural Networks - ANNs/051 Keras Project Solutions - Dealing with Missing Data.en.srt 20.9 kB
07 Basic Artificial Neural Networks - ANNs/037 Backpropagation.en.srt 20.8 kB
07 Basic Artificial Neural Networks - ANNs/040 Keras Syntax Basics - Part Two - Creating and Training the Model.en.srt 20.4 kB
08 Convolutional Neural Networks - CNNs/069 CNN on Real Image Files - Part One - Reading in the Data.en.srt 20.4 kB
08 Convolutional Neural Networks - CNNs/071 CNN on Real Image Files - Part Three - Creating the Model.en.srt 20.1 kB
04 Pandas Crash Course/016 Pandas Operations.en.srt 19.1 kB
07 Basic Artificial Neural Networks - ANNs/043 Keras Regression Code Along - Exploratory Data Analysis - Continued.en.srt 18.8 kB
09 Recurrent Neural Networks - RNNs/083 RNN on a Sine Wave - LSTMs and Forecasting.en.srt 18.4 kB
08 Convolutional Neural Networks - CNNs/059 Image Filters and Kernels.en.srt 18.4 kB
10 Natural Language Processing/092 NLP - Part Three - Creating Batches.en.srt 18.4 kB
08 Convolutional Neural Networks - CNNs/063 CNN on MNIST - Part One - The Data.en.srt 18.1 kB
04 Pandas Crash Course/012 Pandas DataFrames - Part One.en.srt 17.7 kB
12 Generative Adversarial Networks/105 Creating a GAN - Part Two - The Model.en.srt 17.7 kB
07 Basic Artificial Neural Networks - ANNs/052 Keras Project Solutions - Dealing with Missing Data - Part Two.en.srt 17.5 kB
04 Pandas Crash Course/017 Data Input and Output.en.srt 17.3 kB
07 Basic Artificial Neural Networks - ANNs/041 Keras Syntax Basics - Part Three - Model Evaluation.en.srt 17.1 kB
09 Recurrent Neural Networks - RNNs/078 LSTMS and GRU.en.srt 17.1 kB
08 Convolutional Neural Networks - CNNs/066 CNN on CIFAR-10 - Part One - The Data.en.srt 16.9 kB
07 Basic Artificial Neural Networks - ANNs/034 Activation Functions.en.srt 16.4 kB
07 Basic Artificial Neural Networks - ANNs/035 Multi-Class Classification Considerations.en.srt 16.3 kB
07 Basic Artificial Neural Networks - ANNs/045 Keras Regression Code Along - Model Evaluation and Predictions.en.srt 16.2 kB
13 Deployment/111 Running a Basic Flask Application.en.srt 15.5 kB
03 NumPy Crash Course/006 Numpy Index Selection.en.srt 15.4 kB
04 Pandas Crash Course/014 Pandas Missing Data.en.srt 15.4 kB
13 Deployment/112 Flask Postman API.en.srt 15.3 kB
07 Basic Artificial Neural Networks - ANNs/039 Keras Syntax Basics - Part One - Preparing the Data.en.srt 15.1 kB
07 Basic Artificial Neural Networks - ANNs/032 Perceptron Model.en.srt 14.9 kB
10 Natural Language Processing/093 NLP - Part Four - Creating the Model.en.srt 14.6 kB
04 Pandas Crash Course/015 GroupBy Operations.en.srt 14.3 kB
11 AutoEncoders/102 Autoencoder Exercise - Solutions.en.srt 14.3 kB
10 Natural Language Processing/094 NLP - Part Five - Training the Model.en.srt 14.1 kB
04 Pandas Crash Course/013 Pandas DataFrames - Part Two.en.srt 13.9 kB
09 Recurrent Neural Networks - RNNs/084 RNN on a Time Series - Part One.en.srt 13.9 kB
07 Basic Artificial Neural Networks - ANNs/056 Keras Project Solutions - Model Evaluation.en.srt 13.7 kB
05 Visualization Crash Course/021 Matplotlib Basics.en.srt 13.7 kB
04 Pandas Crash Course/011 Pandas Series.en.srt 12.8 kB
13 Deployment/110 Model Prediction Function.en.srt 12.7 kB
07 Basic Artificial Neural Networks - ANNs/049 TensorFlow 2.0 Keras Project Notebook Overview.en.srt 12.7 kB
06 Machine Learning Concepts Overview/026 Supervised Learning Overview.en.srt 12.5 kB
09 Recurrent Neural Networks - RNNs/080 RNN on a Sine Wave - The Data.en.srt 12.5 kB
08 Convolutional Neural Networks - CNNs/072 CNN on Real Image Files - Part Four - Evaluating the Model.en.srt 12.3 kB
09 Recurrent Neural Networks - RNNs/079 RNN Batches.en.srt 12.2 kB
06 Machine Learning Concepts Overview/027 Overfitting.en.srt 12.1 kB
07 Basic Artificial Neural Networks - ANNs/044 Keras Regression Code Along - Data Preprocessing and Creating a Model.en.srt 12.1 kB
12 Generative Adversarial Networks/103 GANs Overview.en.srt 12.0 kB
03 NumPy Crash Course/007 NumPy Operations.en.srt 11.9 kB
10 Natural Language Processing/095 NLP - Part Six - Generating Text.en.srt 11.9 kB
08 Convolutional Neural Networks - CNNs/074 CNN Exercise Solutions.en.srt 11.9 kB
11 AutoEncoders/097 Autoencoder Basics.en.srt 11.6 kB
11 AutoEncoders/100 Autoencoder for Images - Part Two - Noise Removal.en.srt 11.6 kB
09 Recurrent Neural Networks - RNNs/081 RNN on a Sine Wave - Batch Generator.en.srt 11.5 kB
07 Basic Artificial Neural Networks - ANNs/046 Keras Classification Code Along - EDA and Preprocessing.en.srt 11.4 kB
09 Recurrent Neural Networks - RNNs/077 Vanishing Gradients.en.srt 11.1 kB
05 Visualization Crash Course/024 Data Visualization Exercises - Solutions.en.srt 11.0 kB
07 Basic Artificial Neural Networks - ANNs/033 Neural Networks.en.srt 11.0 kB
03 NumPy Crash Course/009 Numpy Exercises - Solutions.en.srt 10.9 kB
08 Convolutional Neural Networks - CNNs/067 CNN on CIFAR-10 - Part Two - Evaluating the Model.en.srt 10.7 kB
04 Pandas Crash Course/019 Pandas Exercises - Solutions.en.srt 10.2 kB
08 Convolutional Neural Networks - CNNs/061 Pooling Layers.en.srt 10.2 kB
12 Generative Adversarial Networks/107 DCGAN - Deep Convolutional Generative Adversarial Networks.en.srt 9.8 kB
08 Convolutional Neural Networks - CNNs/065 CNN on MNIST - Part Three - Model Evaluation.en.srt 9.8 kB
10 Natural Language Processing/089 Introduction to NLP Section.en.srt 9.0 kB
08 Convolutional Neural Networks - CNNs/068 Downloading Data Set for Real Image Lectures.en.srt 8.8 kB
06 Machine Learning Concepts Overview/029 Evaluating Performance - Regression Error Metrics.en.srt 8.6 kB
06 Machine Learning Concepts Overview/025 What is Machine Learning.en.srt 8.3 kB
01 Course Overview Installs and Setup/001 Course Overview.en.srt 7.7 kB
06 Machine Learning Concepts Overview/030 Unsupervised Learning.en.srt 7.2 kB
08 Convolutional Neural Networks - CNNs/062 MNIST Data Set Overview.en.srt 7.1 kB
10 Natural Language Processing/090 NLP - Part One - The Data.en.srt 7.0 kB
09 Recurrent Neural Networks - RNNs/086 RNN Exercise.en.srt 6.9 kB
12 Generative Adversarial Networks/104 Creating a GAN - Part One- The Data.en.srt 6.7 kB
01 Course Overview Installs and Setup/003 FAQ - Frequently Asked Questions.html 6.3 kB
04 Pandas Crash Course/010 Introduction to Pandas.en.srt 6.3 kB
10 Natural Language Processing/091 NLP - Part Two - Text Processing.en.srt 6.0 kB
07 Basic Artificial Neural Networks - ANNs/055 Keras Project Solutions - Creating and Training a Model.en.srt 6.0 kB
13 Deployment/113 Flask API - Using Requests Programmatically.en.srt 5.8 kB
13 Deployment/108 Introduction to Deployment.en.srt 5.5 kB
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07 Basic Artificial Neural Networks - ANNs/054 Keras Project Solutions - Data PreProcessing.en.srt 5.1 kB
04 Pandas Crash Course/018 Pandas Exercises.en.srt 4.4 kB
09 Recurrent Neural Networks - RNNs/075 RNN Section Overview.en.srt 4.1 kB
08 Convolutional Neural Networks - CNNs/073 CNN Exercise Overview.en.srt 3.9 kB
03 NumPy Crash Course/004 Introduction to NumPy.en.srt 3.6 kB
07 Basic Artificial Neural Networks - ANNs/031 Introduction to ANN Section.en.srt 3.4 kB
07 Basic Artificial Neural Networks - ANNs/038 TensorFlow vs. Keras Explained.en.srt 3.0 kB
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08 Convolutional Neural Networks - CNNs/058 CNN Section Overview.en.srt 2.5 kB
03 NumPy Crash Course/008 NumPy Exercises.en.srt 2.2 kB
05 Visualization Crash Course/020 Introduction to Python Visualization.en.srt 2.0 kB
Verify Files.txt 1.0 kB
09 Recurrent Neural Networks - RNNs/external-assets-links.txt 403 Bytes
08 Convolutional Neural Networks - CNNs/external-assets-links.txt 163 Bytes
01 Course Overview Installs and Setup/002 requirements.txt 138 Bytes
07 Basic Artificial Neural Networks - ANNs/external-assets-links.txt 96 Bytes
[FreeAllCourse.Com].url 52 Bytes

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