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- 【影视】 [ DevCourseWeb.com ] Udemy - Deep Learning with Tensorflow and Pytorch (Tutorial Ongoing)
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收录时间:2024-09-01
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~Get Your Files Here !/3. MNIST Example with Tensorflow/10. Pytorch MNIST Code Walk Through.mp4 160.1 MB
~Get Your Files Here !/1. Introduction/7. Convolutional Neural Network.mp4 152.1 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/2. MNIST Tensorflow- example code walk through.mp4 125.4 MB
~Get Your Files Here !/1. Introduction/4. Machine Learning quick overview.mp4 105.0 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/3. MNIST Tensorflow- running in machine.mp4 100.5 MB
~Get Your Files Here !/1. Introduction/8. Deep Learning Fundamentals.mp4 88.3 MB
~Get Your Files Here !/1. Introduction/6. BackPropagation.mp4 87.2 MB
~Get Your Files Here !/2. Tensorflow and Pytorch Basics/3. Install Tensorflow - Hands-on.mp4 82.1 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/6. Loss Functions Classification-Cross Entropy-Sigmoid and Softmax.mp4 64.5 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/8. Optimizers-GD, SGD, Adagrad, Adam.mp4 60.5 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/9. Callback Functions-Checkpoint, Learning Rate Scheduler.mp4 60.4 MB
~Get Your Files Here !/1. Introduction/5. Artifical Neural Network or ANN.mp4 48.0 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/4. Data preparation, Datagenerator and Model.mp4 39.8 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/5. Loss Functions Regression- MAE, MSE.mp4 27.6 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/1. MNIST Introduction.mp4 26.5 MB
~Get Your Files Here !/2. Tensorflow and Pytorch Basics/4. Install Pytorch - Hands-on- Part 1.mp4 23.4 MB
~Get Your Files Here !/1. Introduction/3. Difference between Artificial Intelligence, Machine Learning and Deep Learning.mp4 21.7 MB
~Get Your Files Here !/1. Introduction/2. Quick Demo of whisper+gradio speech to text conversion!.mp4 17.2 MB
~Get Your Files Here !/2. Tensorflow and Pytorch Basics/5. Install Pytorch - Hands-on- Part 2.mp4 14.2 MB
~Get Your Files Here !/2. Tensorflow and Pytorch Basics/2. Install Tensorflow and Pytorch- Steps.mp4 11.9 MB
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- 【影视】 [CourseClub.Me] Coursera - TensorFlow Data and Deployment Specialization
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收录时间:2022-04-04
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2. Device-based Models with TensorFlow Lite/device-based-models-tensorflow - 01 - Introduction, A conversation with Andrew Ng.mp4 39.7 MB
1. Browser-based Models with TensorFlow.js/browser-based-models-tensorflow - 19 - MNIST Classifier In Code.mp4 21.8 MB
3. Data Pipelines with TensorFlow Data Services/data-pipelines-tensorflow - 39 - A conversation with Andrew Ng.mp4 21.0 MB
4. Advanced Deployment Scenarios with TensorFlow/advanced-deployment-scenarios-tensorflow - 01 - Introduction, A conversation with Andrew Ng.mp4 19.3 MB
2. Device-based Models with TensorFlow Lite/device-based-models-tensorflow - 15 - Introduction, A conversation with Andrew.mp4 18.6 MB
4. Advanced Deployment Scenarios with TensorFlow/advanced-deployment-scenarios-tensorflow - 34 - Introduction, A conversation with Andrew Ng.mp4 18.3 MB
2. Device-based Models with TensorFlow Lite/device-based-models-tensorflow - 52 - Introduction, A conversation with Andrew Ng.mp4 18.0 MB
3. Data Pipelines with TensorFlow Data Services/data-pipelines-tensorflow - 33 - Notebook walkthrough.mp4 17.8 MB
4. Advanced Deployment Scenarios with TensorFlow/advanced-deployment-scenarios-tensorflow - 24 - Introduction, A conversation with Andrew Ng.mp4 17.3 MB
4. Advanced Deployment Scenarios with TensorFlow/advanced-deployment-scenarios-tensorflow - 13 - Introduction, A conversation with Andrew Ng.mp4 16.5 MB
2. Device-based Models with TensorFlow Lite/device-based-models-tensorflow - 14 - Transfer learning with TFLite.mp4 16.1 MB
3. Data Pipelines with TensorFlow Data Services/data-pipelines-tensorflow - 01 - A conversation with Andrew Ng.mp4 15.8 MB
4. Advanced Deployment Scenarios with TensorFlow/advanced-deployment-scenarios-tensorflow - 35 - Training on mobile devices.mp4 15.3 MB
3. Data Pipelines with TensorFlow Data Services/data-pipelines-tensorflow - 26 - Notebook Walkthrough.mp4 14.6 MB
2. Device-based Models with TensorFlow Lite/device-based-models-tensorflow - 45 - Looking at the code for the image classification App.mp4 14.3 MB
2. Device-based Models with TensorFlow Lite/device-based-models-tensorflow - 38 - Looking at the App in Xcode.mp4 14.1 MB
2. Device-based Models with TensorFlow Lite/device-based-models-tensorflow - 25 - Demo of camera image classifier.mp4 14.0 MB
4. Advanced Deployment Scenarios with TensorFlow/advanced-deployment-scenarios-tensorflow - 38 - Maintaining user privacy.mp4 13.6 MB
3. Data Pipelines with TensorFlow Data Services/data-pipelines-tensorflow - 58 - Going Through the Colab - Part 2.mp4 13.4 MB
3. Data Pipelines with TensorFlow Data Services/data-pipelines-tensorflow - 60 - A conversation with Andrew Ng.mp4 13.3 MB
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- 【影视】 Deep Learning - Artificial Neural Networks with Tensorflow
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收录时间:2024-07-09
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Chapter 3 Feedforward Artificial Neural Networks/004. Activation Functions.mp4 64.7 MB
Chapter 3 Feedforward Artificial Neural Networks/009. ANN for Regression.mp4 58.7 MB
Chapter 2 Machine Learning and Neurons/001. What Is Machine Learning.mp4 56.1 MB
Chapter 3 Feedforward Artificial Neural Networks/006. How to Represent Images.mp4 52.0 MB
Chapter 2 Machine Learning and Neurons/002. Code Preparation (Classification Theory).mp4 50.7 MB
Chapter 2 Machine Learning and Neurons/005. Regression Notebook.mp4 50.0 MB
Chapter 2 Machine Learning and Neurons/003. Classification Notebook.mp4 46.9 MB
Chapter 3 Feedforward Artificial Neural Networks/007. Code Preparation (Artificial Neural Networks).mp4 44.2 MB
Chapter 5 In-Depth Gradient Descent/005. Adam Optimization (Part 1).mp4 44.1 MB
Chapter 5 In-Depth Gradient Descent/006. Adam Optimization (Part 2).mp4 42.4 MB
Chapter 3 Feedforward Artificial Neural Networks/008. ANN for Image Classification.mp4 42.1 MB
Chapter 3 Feedforward Artificial Neural Networks/003. The Geometrical Picture.mp4 41.3 MB
Chapter 2 Machine Learning and Neurons/007. How Does a Model Learn .mp4 40.4 MB
Chapter 2 Machine Learning and Neurons/006. The Neuron.mp4 35.7 MB
Chapter 3 Feedforward Artificial Neural Networks/005. Multiclass Classification.mp4 35.6 MB
Chapter 3 Feedforward Artificial Neural Networks/002. Forward Propagation.mp4 35.4 MB
Chapter 5 In-Depth Gradient Descent/004. Variable and Adaptive Learning Rates.mp4 34.2 MB
Chapter 4 In-Depth Loss Functions/001. Mean Squared Error.mp4 31.8 MB
Chapter 2 Machine Learning and Neurons/008. Making Predictions.mp4 31.2 MB
Chapter 5 In-Depth Gradient Descent/003. Momentum.mp4 30.2 MB
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- 【影视】 The Magic of Deep Learning with TensorFlow 2
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收录时间:2023-12-30
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The Magic of Deep Learning with TensorFlow 2/1. Getting started with Tensorflow 2/2. Machine Learning Algorithm Part 1.mp4 113.0 MB
The Magic of Deep Learning with TensorFlow 2/3. Face Detection with TensorFlow 2/5. Buidling the Second Module classifier.py with TensorFlow 2.mp4 105.0 MB
The Magic of Deep Learning with TensorFlow 2/1. Getting started with Tensorflow 2/3. Machine Learning Algorithm Part 2.mp4 100.1 MB
The Magic of Deep Learning with TensorFlow 2/5. The Magic of TensorFlow 2/1. Detecting the faces in Vidoes Part 1.mp4 86.3 MB
The Magic of Deep Learning with TensorFlow 2/3. Face Detection with TensorFlow 2/3. Buidling the First Module preprocessing.py with TensorFlow 2 part 2.mp4 78.5 MB
The Magic of Deep Learning with TensorFlow 2/3. Face Detection with TensorFlow 2/4. Buidling the First Module preprocessing.py with TensorFlow 2 part 3.mp4 72.8 MB
The Magic of Deep Learning with TensorFlow 2/2. Diffrence Between TensorFlow 1.x and TensorFlow 2/3. Preprocessing Image Part 1.mp4 71.9 MB
The Magic of Deep Learning with TensorFlow 2/5. The Magic of TensorFlow 2/2. Detecting the faces in Vidoes Part 2.mp4 67.1 MB
The Magic of Deep Learning with TensorFlow 2/4. Yolo Detector with TensorFlow 2/2. The dataset creation.mp4 60.9 MB
The Magic of Deep Learning with TensorFlow 2/4. Yolo Detector with TensorFlow 2/3. Labelling the dataset and generate the annotation XML file.mp4 50.7 MB
The Magic of Deep Learning with TensorFlow 2/2. Diffrence Between TensorFlow 1.x and TensorFlow 2/1. Diffrence Between TensorFlow 1.x and TensorFlow 2 Part 1.mp4 49.3 MB
The Magic of Deep Learning with TensorFlow 2/2. Diffrence Between TensorFlow 1.x and TensorFlow 2/2. Diffrence Between TensorFlow 1.x and TensorFlow 2 Part 2.mp4 48.4 MB
The Magic of Deep Learning with TensorFlow 2/5. The Magic of TensorFlow 2/3. Yolo Object detector live stream.mp4 42.2 MB
The Magic of Deep Learning with TensorFlow 2/3. Face Detection with TensorFlow 2/2. Buidling the First Module preprocessing.py with TensorFlow 2 part 1.mp4 32.5 MB
The Magic of Deep Learning with TensorFlow 2/1. Getting started with Tensorflow 2/1. Installing TensorFlow 2.mp4 27.9 MB
The Magic of Deep Learning with TensorFlow 2/2. Diffrence Between TensorFlow 1.x and TensorFlow 2/4. Preprocessing Image Part 2.mp4 24.4 MB
The Magic of Deep Learning with TensorFlow 2/4. Yolo Detector with TensorFlow 2/4. Modifying and training your custom Yolo detector for the new object.mp4 20.6 MB
The Magic of Deep Learning with TensorFlow 2/3. Face Detection with TensorFlow 2/1. Introduction.mp4 16.1 MB
The Magic of Deep Learning with TensorFlow 2/3. Face Detection with TensorFlow 2/6. Buidling the Third Module data_preprocesses.py with TensorFlow 2.mp4 7.2 MB
The Magic of Deep Learning with TensorFlow 2/4. Yolo Detector with TensorFlow 2/1. Introduction.mp4 5.1 MB
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- 【影视】 Deep Learning - Recurrent Neural Networks with TensorFlow
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收录时间:2024-07-09
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Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/001. Sequence Data.mp4 73.6 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/010. GRU and LSTM (Part 1).mp4 62.3 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/008. RNN for Time Series Prediction.mp4 58.0 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/003. Autoregressive Linear Model for Time Series Prediction.mp4 56.4 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/018. Stock Return Predictions Using LSTMs (Part 3).mp4 56.3 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/016. Stock Return Predictions Using LSTMs (Part 1).mp4 53.6 MB
Chapter 3 Natural Language Processing (NLP)/002. Code Preparation (NLP).mp4 50.2 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/012. A More Challenging Sequence.mp4 48.3 MB
Chapter 3 Natural Language Processing (NLP)/001. Embeddings.mp4 48.1 MB
Chapter 3 Natural Language Processing (NLP)/004. Text Classification with LSTMs.mp4 42.7 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/009. Paying Attention to Shapes.mp4 41.5 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/011. GRU and LSTM (Part 2).mp4 41.1 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/002. Forecasting.mp4 38.0 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/006. Recurrent Neural Networks (Elman Unit Part 2).mp4 33.2 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/005. Recurrent Neural Networks (Elman Unit Part 1).mp4 33.0 MB
Chapter 1 Welcome/002. Outline.mp4 30.5 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/017. Stock Return Predictions Using LSTMs (Part 2).mp4 27.9 MB
Chapter 3 Natural Language Processing (NLP)/003. Text Preprocessing.mp4 25.2 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/014. RNN for Image Classification (Theory).mp4 24.3 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/019. Other Ways to Forecast.mp4 21.3 MB
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- 【影视】 Deep Learning - Convolutional Neural Networks with TensorFlow
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收录时间:2024-07-11
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Chapter 2 Convolutional Neural Networks (CNNs)/005. CNN Architecture.mp4 65.9 MB
Chapter 2 Convolutional Neural Networks (CNNs)/006. CNN Code Preparation.mp4 62.6 MB
Chapter 2 Convolutional Neural Networks (CNNs)/011. Improving CIFAR-10 Results.mp4 58.9 MB
Chapter 2 Convolutional Neural Networks (CNNs)/004. Convolution on Color Images.mp4 58.6 MB
Chapter 2 Convolutional Neural Networks (CNNs)/001. What Is Convolution (Part 1).mp4 57.9 MB
Chapter 4 Transfer Learning for Computer Vision/005. Transfer Learning Code (Part 1).mp4 52.2 MB
Chapter 3 Natural Language Processing (NLP)/002. Code Preparation (NLP).mp4 49.2 MB
Chapter 3 Natural Language Processing (NLP)/001. Embeddings.mp4 45.4 MB
Chapter 4 Transfer Learning for Computer Vision/001. Transfer Learning Theory.mp4 44.6 MB
Chapter 4 Transfer Learning for Computer Vision/006. Transfer Learning Code (Part 2).mp4 39.0 MB
Chapter 2 Convolutional Neural Networks (CNNs)/007. CNN for Fashion MNIST.mp4 36.2 MB
Chapter 3 Natural Language Processing (NLP)/005. Text Classification with CNNs.mp4 33.6 MB
Chapter 4 Transfer Learning for Computer Vision/003. Large Datasets and Data Generators.mp4 33.6 MB
Chapter 3 Natural Language Processing (NLP)/004. CNNs for Text.mp4 31.6 MB
Chapter 2 Convolutional Neural Networks (CNNs)/009. Data Augmentation.mp4 31.2 MB
Chapter 4 Transfer Learning for Computer Vision/002. Some Pre-Trained Models (VGG, ResNet, Inception, MobileNet).mp4 27.5 MB
Chapter 2 Convolutional Neural Networks (CNNs)/008. CNN for CIFAR-10.mp4 26.1 MB
Chapter 3 Natural Language Processing (NLP)/003. Text Preprocessing.mp4 25.0 MB
Chapter 1 Welcome/002. Outline.mp4 24.6 MB
Chapter 2 Convolutional Neural Networks (CNNs)/003. What Is Convolution (Part 3).mp4 23.5 MB
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- 【影视】 python Tensorflow 视频教程 (带源码)
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收录时间:2017-08-03
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tensorflowTUT源码/tensorflow8_feeds.py 357 Bytes
tensorflowTUT源码/tf5_example2/for_you_to_practice.py 419 Bytes
tensorflowTUT源码/tensorflow7_variable.py 513 Bytes
tensorflowTUT源码/tensorflow6_session.py 515 Bytes
tensorflowTUT源码/tensorflow10_def_add_layer.py 547 Bytes
tensorflowTUT源码/tf5_example2/full_code.py 847 Bytes
tensorflowTUT源码/tf11_build_network/for_you_to_practice.py 892 Bytes
tensorflowTUT源码/tf16_classification/for_you_to_practice.py 894 Bytes
tensorflowTUT源码/tf19_saver.py 1.1 kB
tensorflowTUT源码/tf14_tensorboard/for_you_to_practice.py 1.2 kB
tensorflowTUT源码/tf11_build_network/full_code.py 1.6 kB
tensorflowTUT源码/tf12_plot_result/for_you_to_practice.py 1.6 kB
tensorflowTUT源码/tensorflow11_build_network.py 1.6 kB
tensorflowTUT源码/tf14_tensorboard/full_code.py 1.7 kB
tensorflowTUT源码/tf18_CNN2/for_you_to_practice.py 1.7 kB
tensorflowTUT源码/tf17_dropout/for_you_to_practice.py 1.8 kB
tensorflowTUT源码/tf15_tensorboard/for_you_to_practice.py 1.8 kB
tensorflowTUT源码/tf16_classification/full_code.py 2.0 kB
tensorflowTUT源码/tf12_plot_result/full_code.py 2.0 kB
tensorflowTUT源码/tensorflow12_plut_result.py 2.0 kB
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- 【影视】 Packt Hands-on Reinforcement Learning with TensorFlow
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05.Getting Production-Ready with TensorFlow/0502.Structuring the Code Base.mp4 77.8 MB
01.Understanding the Reinforcement Learning Framework/0102.Introduction to Reinforcement Learning.mp4 15.1 MB
01.Understanding the Reinforcement Learning Framework/0103.Common RL Tasks and the Reinforcement Process.mp4 16.2 MB
01.Understanding the Reinforcement Learning Framework/0104.Setting Up Environments Using Open AI’s Gym Framework.mp4 29.4 MB
02.Training a Smartcab Using Q-Learning/0201.The Taxi-v2 Environment.mp4 43.5 MB
02.Training a Smartcab Using Q-Learning/0202.Operating Taxi-v2 Using a Dumb Agent.mp4 24.3 MB
02.Training a Smartcab Using Q-Learning/0203.Introducing Reinforcement Q-Learning.mp4 14.0 MB
02.Training a Smartcab Using Q-Learning/0204.Implementing Q-Learning.mp4 31.9 MB
02.Training a Smartcab Using Q-Learning/0205.Q-Learning Agent in Action.mp4 39.6 MB
03.Balancing a Cartpole Using Q-Networks/0301.The Cartpole Environment.mp4 33.5 MB
03.Balancing a Cartpole Using Q-Networks/0302.Introducing Q-Networks.mp4 16.3 MB
03.Balancing a Cartpole Using Q-Networks/0303.TensorFlow Basics.mp4 45.6 MB
03.Balancing a Cartpole Using Q-Networks/0304.Implementing Q-Network.mp4 38.4 MB
03.Balancing a Cartpole Using Q-Networks/0305.Q-Network Agent in Action.mp4 18.4 MB
04.Deep Reinforcement Learning with TensorFlow/0401.Introducing Deep Q-Networks.mp4 14.5 MB
04.Deep Reinforcement Learning with TensorFlow/0402.The DQN Training Algorithm.mp4 11.4 MB
04.Deep Reinforcement Learning with TensorFlow/0403.Implementing DQN.mp4 49.6 MB
04.Deep Reinforcement Learning with TensorFlow/0404.DQN in Action.mp4 72.9 MB
04.Deep Reinforcement Learning with TensorFlow/0405.Dueling Double DQN.mp4 55.2 MB
05.Getting Production-Ready with TensorFlow/0501.Logging, Saving, and Visualizing.mp4 41.2 MB
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- 【影视】 [ CourseWikia.com ] Udemy - Deep Learning Real World Projects & TensorFlow Certification
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~Get Your Files Here !/6. Lecture 6 Training a Multi Layered Perceptron.mp4 182.2 MB
~Get Your Files Here !/8. Lecture 8 Backpropagation Algorithm.mp4 114.4 MB
~Get Your Files Here !/10. Lecture 10 Vanishing Gradient Problem.mp4 96.9 MB
~Get Your Files Here !/7. Lecture 7 Memoization.mp4 92.7 MB
~Get Your Files Here !/5. Lecture 5 Training a single Neuron model.mp4 81.7 MB
~Get Your Files Here !/4. Lecture 4 DNN Notations.mp4 68.1 MB
~Get Your Files Here !/9. Lecture 9 Activation Functions.mp4 66.8 MB
~Get Your Files Here !/1. Introduction to Biological Neuron.mp4 41.9 MB
~Get Your Files Here !/2. Lecture 2 Logistic Regression and Neuron.mp4 23.5 MB
~Get Your Files Here !/3. Lecture 3 Multi Layered Perceptron.mp4 21.5 MB
~Get Your Files Here !/6. Lecture 6 Training a Multi Layered Perceptron.srt 28.3 kB
~Get Your Files Here !/9. Lecture 9 Activation Functions.srt 20.5 kB
~Get Your Files Here !/8. Lecture 8 Backpropagation Algorithm.srt 20.4 kB
~Get Your Files Here !/5. Lecture 5 Training a single Neuron model.srt 19.4 kB
~Get Your Files Here !/4. Lecture 4 DNN Notations.srt 14.5 kB
~Get Your Files Here !/7. Lecture 7 Memoization.srt 13.4 kB
~Get Your Files Here !/10. Lecture 10 Vanishing Gradient Problem.srt 12.8 kB
~Get Your Files Here !/1. Introduction to Biological Neuron.srt 9.4 kB
~Get Your Files Here !/2. Lecture 2 Logistic Regression and Neuron.srt 5.6 kB
~Get Your Files Here !/3. Lecture 3 Multi Layered Perceptron.srt 5.3 kB
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- 【影视】 End-to-End Machine Learning with TensorFlow on GCP
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06. Operationalize the model/04. Lab 4 demo and review.mp4 62.1 MB
06. Operationalize the model/09. Lab 5 demo and review.mp4 61.0 MB
05. Build the Model/04. Lab 3 -demo and review.mp4 59.7 MB
04. Create the dataset/04. Lab 2-demo and review.mp4 49.7 MB
07. Summary/01. Summary.mp4 39.6 MB
06. Operationalize the model/12. Lab Solution BigQuery ML.mp4 37.0 MB
06. Operationalize the model/16. Lab 6 -demo and review.mp4 35.1 MB
01. Welcome to the Course/02. Course Introduction.mp4 33.9 MB
06. Operationalize the model/18. Lab 7 -demo and review.mp4 30.7 MB
03. Explore the Data/07. Lab 1 demo and review.mp4 30.3 MB
03. Explore the Data/01. Exploring the dataset.mp4 27.6 MB
05. Build the Model/01. Build the model.mp4 27.5 MB
05. Build the Model/02. Lab 3 Intro -Creating a TensorFlow model.mp4 26.8 MB
01. Welcome to the Course/01. Intro to Specialization.mp4 19.2 MB
02. Machine Learning (ML) on Google Cloud Platform (GCP)/02. Fully managed ML.mp4 18.0 MB
03. Explore the Data/05. Lab 1 Intro -Exploring the dataset.mp4 17.7 MB
04. Create the dataset/01. Creating a dataset.mp4 17.6 MB
06. Operationalize the model/07. Lab 5 -Training on Cloud AI Platform.mp4 16.6 MB
02. Machine Learning (ML) on Google Cloud Platform (GCP)/01. Effective ML.mp4 14.6 MB
06. Operationalize the model/01. Operationalizing the model.mp4 14.5 MB
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- 【影视】 [FreeCoursesOnline.Me] [Packtpub.Com] Building Machine Learning Systems with TensorFlow - [FCO]
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Chapter 7 - Recurrent Neural Networks and LSTM/35. Writing Music a la Bach.mp4 47.1 MB
Chapter 1 - Exploring and Transforming data/04. Basic Tensor Methods.mp4 38.7 MB
Chapter 4 - Logistic Regression/18. Univariate Logistic Regression.mp4 33.2 MB
Chapter 1 - Exploring and Transforming data/02. TensorFlow's Main Data Structure Tensors.mp4 28.5 MB
Chapter 3 - Linear Regression/14. Univariate Linear Regression.mp4 26.5 MB
Chapter 1 - Exploring and Transforming data/05. How TensorBoard Works.mp4 25.8 MB
Chapter 1 - Exploring and Transforming data/06. Reading Information from Disk.mp4 22.9 MB
Chapter 3 - Linear Regression/15. Multivariate Linear Regression.mp4 22.6 MB
Chapter 2 - Clustering/10. Project 1 k-Means Clustering on Synthetic Datasetsets.mp4 20.4 MB
Chapter 2 - Clustering/09. k-Nearest Neighbor.mp4 19.8 MB
Chapter 1 - Exploring and Transforming data/01. The Course Overview.mp4 19.5 MB
Chapter 6 - Convolutional Neural Networks/25. Applying Convolution in TensorFlow.mp4 18.8 MB
Chapter 6 - Convolutional Neural Networks/29. MNIST Digit Classification.mp4 18.7 MB
Chapter 1 - Exploring and Transforming data/03. Handling the Computing Workflow TensorFlow's Data Flow Graph.mp4 17.0 MB
Chapter 5 - Simple FeedForward Neural Networks/22. Second Project Modeling Cars Fuel Efficiency with Non-Linear.mp4 16.4 MB
Chapter 8 - Deep Neural Networks/40. Painting with Style VGG Style Transfer.mp4 16.2 MB
Chapter 7 - Recurrent Neural Networks and LSTM/34. Univariate Time Series Prediction with Energy Consumption Data.mp4 14.5 MB
Chapter 9 - Library Installation And Additional Tips/42. mac OS Installation.mp4 14.3 MB
Chapter 5 - Simple FeedForward Neural Networks/21. First Project Non-Linear Synthetic Function Regression.mp4 14.3 MB
Chapter 5 - Simple FeedForward Neural Networks/20. Preliminary Concepts.mp4 14.0 MB
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- 【影视】 [ DevCourseWeb.com ] Udemy - Face Recognition Using Tensorflow And Keras From Scratch
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~Get Your Files Here !/1 - INTRODUCTION TO COURSE/2 - CREATING DATASET FOR FACE RECOGNITION.mp4 172.1 MB
~Get Your Files Here !/1 - INTRODUCTION TO COURSE/4 - VALIDATE THE TRAINED MODEL.mp4 91.7 MB
~Get Your Files Here !/2 - INTRODUCTION TO Face Recognition Using TesnsorFlow And Keras/8 - OUTPUT FOR FACE RECOGNITION AND CONCLUSION.mp4 86.8 MB
~Get Your Files Here !/1 - INTRODUCTION TO COURSE/5 - DOWNLOAD THE TENSORFLOW AND KERAS MODEL.mp4 74.2 MB
~Get Your Files Here !/1 - INTRODUCTION TO COURSE/3 - TRAIN THE DATASET AND ITS FEATURES.mp4 55.8 MB
~Get Your Files Here !/1 - INTRODUCTION TO COURSE/1 - Introduction To Teachable Machine.mp4 45.7 MB
~Get Your Files Here !/1 - INTRODUCTION TO COURSE/6 - EXTRACT THE KERAS MODEL AND LABELS.mp4 39.2 MB
~Get Your Files Here !/2 - INTRODUCTION TO Face Recognition Using TesnsorFlow And Keras/7 - INSTALL PACKAGES AND EXECUTE PROJECT IN PYCHARM IDE.mp4 25.0 MB
~Get Your Files Here !/Bonus Resources.txt 386 Bytes
Get Bonus Downloads Here.url 182 Bytes
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莫烦 Tensorflow 1 why- (神经网络 教学教程tutorial)_标清.flv 3.3 MB
莫烦 Tensorflow 10 添加层 def add_layer() (神经网络 教学教程)_标清.flv 10.8 MB
莫烦 Tensorflow 11 例子3 建造神经网络 (神经网络 教学教程)_标清.flv 44.8 MB
莫烦 Tensorflow 12 例子3 结果可视化 (神经网络 教学教程)_标清.flv 13.8 MB
莫烦 Tensorflow 13 优化器 optimizer (神经网络 教学教程tutorial)_标清.flv 12.3 MB
莫烦 Tensorflow 14 Tensorboard 可视化好帮手 (神经网络 教学教程tutorial)_标清.flv 23.3 MB
莫烦 Tensorflow 15 Tensorboard 可视化好帮手2 (神经网络 教学教程tutorial)_标清.flv 20.0 MB
莫烦 Tensorflow 17 dropout 解决 overfitting 问题 (神经网络 教学教程tutorial)_标清.flv 32.7 MB
莫烦 Tensorflow 18.1 CNN 卷积神经网络 Convolutional Neural Networks(神经网络 教学教程tutorial)_标清.flv 25.8 MB
莫烦 Tensorflow 18.2 CNN 卷积神经网络 Convolutional Neural Networks(神经网络 教学教程tutorial)_标清.flv 20.6 MB
莫烦 Tensorflow 18.3 CNN 卷积神经网络 Convolutional Neural Networks(神经网络 教学教程tutorial)_标清.flv 40.4 MB
莫烦 Tensorflow 19 Saver 保存读取 (神经网络 教学教程tutorial)_标清.flv 23.9 MB
莫烦 Tensorflow 2 安装 (Windows, Mac, Linux) (神经网络 教学教程tutorial)_标清.flv 13.1 MB
莫烦 Tensorflow 20.1 RNN 循环神经网络 (神经网络 教学教程tutorial)_标清.flv 21.8 MB
莫烦 Tensorflow 20.2 RNN 循环神经网络 (分类例子) (神经网络 教学教程tutorial)_标清.flv 41.4 MB
莫烦 Tensorflow 20.3 RNN lstm (regression 回归例子) (神经网络 教学教程tutorial)_标清.flv 48.4 MB
莫烦 Tensorflow 20.4 RNN lstm (回归例子可视化) (神经网络 教学教程tutorial)_标清.flv 11.2 MB
莫烦 Tensorflow 21 Autoencoder (非监督学习) (神经网络 教学教程tutorial)_标清.flv 24.4 MB
莫烦 Tensorflow 22 scope 命名方式 (神经网络 教学教程 tutorial)_标清.flv 33.2 MB
莫烦 Tensorflow 23 Batch normalization 批标准化 (神经网络 教学教程tutorial)_标清.flv 30.1 MB
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~Get Your Files Here !/04 - 3. Building Your First Model/04 - Success metrics.mp4 81.9 MB
~Get Your Files Here !/04 - 3. Building Your First Model/02 - Preprocessing and feeding data into your model.mp4 67.2 MB
~Get Your Files Here !/05 - 4. Mastering TensorBoard/02 - Deep dives into training metrics.mp4 53.4 MB
~Get Your Files Here !/05 - 4. Mastering TensorBoard/01 - Visualizing success with TensorBoard.mp4 46.0 MB
~Get Your Files Here !/04 - 3. Building Your First Model/05 - Save and reuse trained models.mp4 44.1 MB
~Get Your Files Here !/04 - 3. Building Your First Model/06 - Autoencoders A gentle introduction to generative models.mp4 42.3 MB
~Get Your Files Here !/04 - 3. Building Your First Model/08 - Solution Building blocks to TensorFlow mastery.mp4 42.1 MB
~Get Your Files Here !/04 - 3. Building Your First Model/03 - Monitor training and validation.mp4 34.0 MB
~Get Your Files Here !/04 - 3. Building Your First Model/01 - Let's create a TensorFlow model.mp4 23.6 MB
~Get Your Files Here !/03 - 2. Understanding TensorFlow/05 - Solution Step-by-step statistical analysis.mp4 21.1 MB
~Get Your Files Here !/03 - 2. Understanding TensorFlow/03 - Machine learning workflow.mp4 13.6 MB
~Get Your Files Here !/03 - 2. Understanding TensorFlow/04 - Challenge Normalizing tensors.mp4 13.0 MB
~Get Your Files Here !/03 - 2. Understanding TensorFlow/01 - TensorFlow essentials.mp4 12.8 MB
~Get Your Files Here !/03 - 2. Understanding TensorFlow/02 - TensorFlow simplified for NumPy users.mp4 10.1 MB
~Get Your Files Here !/02 - 1. Diving into Codespaces/01 - Codespaces Your ready-to-use workspace.mp4 9.5 MB
~Get Your Files Here !/04 - 3. Building Your First Model/07 - Challenge My first TensorFlow model.mp4 5.3 MB
~Get Your Files Here !/06 - Conclusion/01 - Next steps.mp4 4.6 MB
~Get Your Files Here !/02 - 1. Diving into Codespaces/02 - Setting up TensorFlow with Codespaces.mp4 4.3 MB
~Get Your Files Here !/01 - Introduction/01 - Welcome to deep learning with TensorFlow.mp4 3.7 MB
~Get Your Files Here !/04 - 3. Building Your First Model/04 - Success metrics.srt 37.3 kB
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~Get Your Files Here !/02 Installation/001 Installation of Tensorflow.mp4 95.4 MB
~Get Your Files Here !/02 Installation/002 Basic Data Types for Tensorflow.mp4 65.4 MB
~Get Your Files Here !/03 Implementing Linear Model/003 Optimization of Variable.mp4 62.8 MB
~Get Your Files Here !/04 Addition and Random Number Calculation/002 Naming the Variable.mp4 62.5 MB
~Get Your Files Here !/03 Implementing Linear Model/004 Implementing the Constructor Variable.mp4 62.3 MB
~Get Your Files Here !/01 Introduction/001 Introduction to Tensorflow with Python.mp4 61.1 MB
~Get Your Files Here !/03 Implementing Linear Model/002 Creating a Python File.mp4 50.5 MB
~Get Your Files Here !/04 Addition and Random Number Calculation/001 Printing the Variable Result.mp4 30.9 MB
~Get Your Files Here !/03 Implementing Linear Model/001 Implementing Simple Linear Model.mp4 29.1 MB
~Get Your Files Here !/03 Implementing Linear Model/004 Implementing the Constructor Variable.mp4.vtx 545.8 kB
~Get Your Files Here !/01 Introduction/001 Introduction to Tensorflow with Python.en.srt 15.7 kB
~Get Your Files Here !/02 Installation/001 Installation of Tensorflow.en.srt 15.2 kB
~Get Your Files Here !/02 Installation/002 Basic Data Types for Tensorflow.en.srt 15.0 kB
~Get Your Files Here !/03 Implementing Linear Model/003 Optimization of Variable.en.srt 11.8 kB
~Get Your Files Here !/03 Implementing Linear Model/004 Implementing the Constructor Variable.en.srt 11.0 kB
~Get Your Files Here !/03 Implementing Linear Model/002 Creating a Python File.en.srt 9.2 kB
~Get Your Files Here !/04 Addition and Random Number Calculation/002 Naming the Variable.en.srt 9.1 kB
~Get Your Files Here !/03 Implementing Linear Model/001 Implementing Simple Linear Model.en.srt 8.1 kB
~Get Your Files Here !/04 Addition and Random Number Calculation/001 Printing the Variable Result.en.srt 5.9 kB
~Get Your Files Here !/Bonus Resources.txt 357 Bytes
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01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/001 Outline - what did you learn previously and what will you learn in this course.mp4 4.9 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/002 Where does this course fit into your deep learning studies.mp4 6.3 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/003 How to Succeed in this Course.mp4 9.2 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/004 Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4 11.7 MB
02 Gradient Descent Full vs Batch vs Stochastic/005 What are full batch and stochastic gradient descent.mp4 6.1 MB
02 Gradient Descent Full vs Batch vs Stochastic/006 Full vs Batch vs Stochastic Gradient Descent in code.mp4 14.7 MB
03 Momentum and adaptive learning rates/007 Momentum.mp4 3.3 MB
03 Momentum and adaptive learning rates/008 Code for training a neural network using momentum.mp4 15.3 MB
03 Momentum and adaptive learning rates/009 Variable and adaptive learning rates.mp4 5.3 MB
03 Momentum and adaptive learning rates/010 Constant learning rate vs. RMSProp in Code.mp4 11.5 MB
04 Choosing Hyperparameters/011 Hyperparameter Optimization Cross-validation Grid Search and Random Search.mp4 5.8 MB
04 Choosing Hyperparameters/012 Grid Search in Code.mp4 14.4 MB
04 Choosing Hyperparameters/013 Random Search in Code.mp4 8.3 MB
05 Theano/014 Theano Basics Variables Functions Expressions Optimization.mp4 20.3 MB
05 Theano/015 Building a neural network in Theano.mp4 22.8 MB
06 TensorFlow/016 TensorFlow Basics Variables Functions Expressions Optimization.mp4 17.9 MB
06 TensorFlow/017 Building a neural network in TensorFlow.mp4 25.0 MB
07 GPU Speedup Homework and Other Misc Topics/018 Setting up a GPU Instance on Amazon Web Services.mp4 26.9 MB
07 GPU Speedup Homework and Other Misc Topics/019 Can Big Data be used to Speed Up Backpropagation.mp4 5.5 MB
07 GPU Speedup Homework and Other Misc Topics/020 Exercises and Concepts Still to be Covered.mp4 4.7 MB
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05.Traffic Sign Classifier/0502.Implementing Traffic Sign Classifier.mp4 132.1 MB
01.Getting Started with TensorFlow/0104.Warming Up Examples.mp4 95.0 MB
04.Anomaly Detection Algorithm/0402.Server Computer's Behavior.mp4 75.4 MB
03.Linear Regression with Multi Variable/0303.Problem Solution.mp4 69.3 MB
02.Linear Regression with One Variable/0203.Problem Statement and Solution.mp4 55.0 MB
02.Linear Regression with One Variable/0201.What Is Machine Learning.mp4 19.8 MB
02.Linear Regression with One Variable/0202.Model Representation and Gradient Descent.mp4 15.0 MB
01.Getting Started with TensorFlow/0103.Installing TensorFlow.mp4 14.6 MB
01.Getting Started with TensorFlow/0101.The Course Overview.mp4 12.7 MB
01.Getting Started with TensorFlow/0102.Installing and Preparing the Environment.mp4 10.2 MB
04.Anomaly Detection Algorithm/0401.What Is Anomaly Detection.mp4 5.5 MB
05.Traffic Sign Classifier/0501.Introduction to Traffic Sign Classifier.mp4 3.7 MB
03.Linear Regression with Multi Variable/0301.Model Representation.mp4 2.2 MB
03.Linear Regression with Multi Variable/0302.Problem Statement.mp4 1.5 MB
Exercise Files/exercise_files.zip 208.3 kB
Discuss.FreeTutorials.Us.html 169.7 kB
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FreeTutorials.Eu.html 104.7 kB
[TGx]Downloaded from torrentgalaxy.org.txt 524 Bytes
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- 【影视】 [CourseClub.NET] Packtpub - Real-World Machine Learning Projects Using TensorFlow
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05.Traffic Sign Classifier/0502.Implementing Traffic Sign Classifier.mp4 132.1 MB
01.Getting Started with TensorFlow/0104.Warming Up Examples.mp4 95.0 MB
04.Anomaly Detection Algorithm/0402.Server Computer's Behavior.mp4 75.4 MB
03.Linear Regression with Multi Variable/0303.Problem Solution.mp4 69.3 MB
02.Linear Regression with One Variable/0203.Problem Statement and Solution.mp4 55.0 MB
02.Linear Regression with One Variable/0201.What Is Machine Learning.mp4 19.8 MB
02.Linear Regression with One Variable/0202.Model Representation and Gradient Descent.mp4 15.0 MB
01.Getting Started with TensorFlow/0103.Installing TensorFlow.mp4 14.6 MB
01.Getting Started with TensorFlow/0101.The Course Overview.mp4 12.7 MB
01.Getting Started with TensorFlow/0102.Installing and Preparing the Environment.mp4 10.2 MB
04.Anomaly Detection Algorithm/0401.What Is Anomaly Detection.mp4 5.5 MB
05.Traffic Sign Classifier/0501.Introduction to Traffic Sign Classifier.mp4 3.7 MB
03.Linear Regression with Multi Variable/0301.Model Representation.mp4 2.2 MB
03.Linear Regression with Multi Variable/0302.Problem Statement.mp4 1.5 MB
Exercise Files/exercise_files.zip 208.3 kB
[CourseClub.NET].url 123 Bytes
[DesireCourse.Com].url 51 Bytes
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09 Project Facial Expression Recognition/028 Class-Based ANN in Theano.mp4 46.1 MB
10 Appendix/031 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
09 Project Facial Expression Recognition/029 Class-Based ANN in TensorFlow.mp4 39.2 MB
07 GPU Speedup Homework and Other Misc Topics/018 Setting up a GPU Instance on Amazon Web Services.mp4 26.9 MB
10 Appendix/032 How to Code by Yourself part 1.mp4 25.7 MB
06 TensorFlow/017 Building a neural network in TensorFlow.mp4 25.0 MB
08 Modern Regularization Techniques/023 Dropout Regularization.mp4 23.8 MB
05 Theano/015 Building a neural network in Theano.mp4 22.8 MB
09 Project Facial Expression Recognition/025 Facial Expression Recognition Problem Description.mp4 22.5 MB
05 Theano/014 Theano Basics Variables Functions Expressions Optimization.mp4 20.3 MB
06 TensorFlow/016 TensorFlow Basics Variables Functions Expressions Optimization.mp4 17.9 MB
10 Appendix/033 How to Code by Yourself part 2.mp4 15.5 MB
03 Momentum and adaptive learning rates/008 Code for training a neural network using momentum.mp4 15.3 MB
02 Gradient Descent Full vs Batch vs Stochastic/006 Full vs Batch vs Stochastic Gradient Descent in code.mp4 14.7 MB
04 Choosing Hyperparameters/012 Grid Search in Code.mp4 14.4 MB
09 Project Facial Expression Recognition/027 Utilities walkthrough.mp4 14.1 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/004 Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4 11.7 MB
03 Momentum and adaptive learning rates/010 Constant learning rate vs. RMSProp in Code.mp4 11.5 MB
09 Project Facial Expression Recognition/026 The class imbalance problem.mp4 10.6 MB
07 GPU Speedup Homework and Other Misc Topics/022 Theano vs. TensorFlow.mp4 9.6 MB
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01 Outline and Review/001 Introduction and Outline.mp4 3.1 MB
01 Outline and Review/002 Review of Important Concepts.mp4 6.0 MB
01 Outline and Review/003 Where to get the code and data for this course.mp4 5.9 MB
01 Outline and Review/004 How to Succeed in this Course.mp4 10.0 MB
01 Outline and Review/005 How to load the SVHN data and benchmark a vanilla deep network.mp4 10.5 MB
02 Convolution/006 What is convolution.mp4 9.0 MB
02 Convolution/007 Convolution example with audio Echo.mp4 12.7 MB
02 Convolution/008 Convolution example with images Gaussian Blur.mp4 14.7 MB
02 Convolution/009 Convolution example with images Edge Detection.mp4 8.3 MB
02 Convolution/010 Write Convolution Yourself.mp4 19.4 MB
02 Convolution/011 Alternative Views on Convolution.mp4 10.3 MB
03 Convolutional Neural Network Description/012 Translational Invariance.mp4 3.8 MB
03 Convolutional Neural Network Description/013 Architecture of a CNN.mp4 8.9 MB
03 Convolutional Neural Network Description/014 Relationship to Biology.mp4 4.1 MB
03 Convolutional Neural Network Description/015 Convolution and Pooling Gradients.mp4 4.4 MB
03 Convolutional Neural Network Description/016 LeNet - How the Shapes Go Together.mp4 22.7 MB
04 Convolutional Neural Network in Theano/017 Theano - Building the CNN components.mp4 7.3 MB
04 Convolutional Neural Network in Theano/018 Theano - Full CNN and Test on SVHN.mp4 41.3 MB
04 Convolutional Neural Network in Theano/019 Visualizing the Learned Filters.mp4 9.4 MB
05 Convolutional Neural Network in TensorFlow/020 TensorFlow - Building the CNN components.mp4 6.2 MB
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