- 【影视】 [Udemy] A Complete Guide on TensorFlow 2.0 using Keras API (2021) [En]
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16. Annex 2 - Convolutional Neural Networks Theory/7. Step 4 - Full Connection.mp4 203.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/5. LSTM Practical Intuition.mp4 196.5 MB
1. Introduction/1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..mp4 153.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.mp4 147.0 MB
7. Deep Reinforcement Learning Theory/9. Action Selection Policies.mp4 143.5 MB
17. Annex 3 - Recurrent Neural Networks Theory/4. LSTMs.mp4 143.1 MB
17. Annex 3 - Recurrent Neural Networks Theory/2. What are Recurrent Neural Networks.mp4 126.8 MB
16. Annex 2 - Convolutional Neural Networks Theory/9. Softmax & Cross-Entropy.mp4 123.6 MB
2. TensorFlow 2.0 Basics/1. From TensorFlow 1.x to TensorFlow 2.0.mp4 120.4 MB
7. Deep Reinforcement Learning Theory/8. Experience Replay.mp4 120.3 MB
15. Annex 1 - Artificial Neural Networks Theory/5. How do Neural Networks Learn.mp4 117.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/3. Vanishing Gradient.mp4 116.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/2. What are Convolutional Neural Networks.mp4 113.1 MB
7. Deep Reinforcement Learning Theory/6. Deep Q-Learning Intuition - Step 1.mp4 104.8 MB
15. Annex 1 - Artificial Neural Networks Theory/2. The Neuron.mp4 103.5 MB
16. Annex 2 - Convolutional Neural Networks Theory/3. Step 1 - Convolution.mp4 102.6 MB
7. Deep Reinforcement Learning Theory/5. Temporal Difference.mp4 101.8 MB
7. Deep Reinforcement Learning Theory/2. The Bellman Equation.mp4 99.7 MB
7. Deep Reinforcement Learning Theory/3. Markov Decision Process (MDP).mp4 98.9 MB
4. Convolutional Neural Networks/2. Building the Convolutional Neural Network.mp4 92.5 MB
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- 【影视】 Deep learning for image segmentation using Tensorflow 2
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[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/016 Running the exported model on new examples locally.mp4 238.4 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/05 Custom data preparation/005 Annotating a custom dataset.mp4 229.1 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/04 Software setup/008 Windows installation _ Installing tensorflow with GPU support.mp4 215.3 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/001 What is cloud computing and what is AI Platform_ (optional).mp4 121.6 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/04 Software setup/007 Windows installation _ Installing tensorflow 2 object detection API.mp4 112.6 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/04 Software setup/003 Linux installation _ How to install tensorflow 2 with GPU support (part 2).mp4 107.7 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/012 Analyzing the results after the training of Mask RCNN model is finished.mp4 91.6 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/06 Train Mask RCNN model on your local machine/005 Modifying the configuration file - Part 1.mp4 88.9 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/013 Analyzing the results of the second training.mp4 88.0 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/04 Software setup/002 Linux installation _ How to install tensorflow 2 with GPU support (part 1).mp4 87.8 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/015 Downloading the trained model and exporting the SavedModel from checkpoints.mp4 77.5 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/06 Train Mask RCNN model on your local machine/007 Running the training locally.mp4 61.8 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/05 Custom data preparation/007 Transforming our dataset to tfrecord format.mp4 58.7 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/05 Custom data preparation/006 From multiple annotation files to one annotation file.mp4 58.3 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/04 Software setup/004 Linux installation _ How to install tensorflow 2 object detection API.mp4 57.1 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/006 Preparing our config file for training on google cloud.mp4 53.2 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/003 Downloading Google Cloud SDK.mp4 53.1 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/011 Running the evaluation for Mask RCNN model during the training.mp4 48.7 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/05 Custom data preparation/003 Linux - Exploring the dataset - Part 2.mp4 46.4 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/005 Creating a google bucket and uploading data to it.mp4 42.9 MB
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00009 Working_with_Skip-Gram_Embeddings.mp4 30.5 MB
00007 Working_with_Bag-of-Words.mp4 27.1 MB
00013 Applying_Stylenet_Neural-Style.mp4 25.8 MB
00006 Learning_to_Play_Tic-Tac-Toe.mp4 22.2 MB
00014 Implementing_RNN_for_Spam_Prediction.mp4 22.0 MB
00010 Working_with_CBOW_Embeddings.mp4 21.2 MB
00012 Implementing_an_Advanced_CNN.mp4 20.5 MB
00005 Implementing_Different_Layers.mp4 19.7 MB
00008 Implementing_TF-IDF.mp4 19.2 MB
00024 Working_with_a_Genetic_Algorithm.mp4 18.1 MB
00023 Visualizing_Graphs_in_TensorBoard.mp4 16.6 MB
00017 Training_a_Siamese_Similarity_Measure.mp4 16.6 MB
00011 Implementing_a_Simpler_CNN.mp4 15.7 MB
00015 Implementing_an_LSTM_Model.mp4 15.3 MB
00025 Clustering_Using_K-Means.mp4 13.0 MB
00002 Implementing_Operational_Gates.mp4 12.8 MB
00003 Working_with_Gates_and_Activation_Functions.mp4 11.8 MB
00004 Implementing_a_One-Layer_Neural_Network.mp4 11.6 MB
00018 Implementing_Unit_Tests.mp4 10.2 MB
00001 The_Course_Overview.mp4 9.9 MB
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收录时间:2020-02-20
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19-skflow.mp4 36.1 MB
18-Introducing Recurrent Neural Networks.mp4 34.9 MB
04-Logistic Regression Model Building.mp4 27.1 MB
21-Research Evaluation.mp4 27.0 MB
12-Convolutional Layer Application.mp4 26.9 MB
15-Deep CNN.mp4 25.2 MB
02-Installing TensorFlow.mp4 21.5 MB
03-Simple Computations.mp4 21.4 MB
09-Multiple Hidden Layer Model.mp4 20.8 MB
06-Basic Neural Nets.mp4 20.3 MB
07-Single Hidden Layer Model.mp4 19.8 MB
05-Logistic Regression Training.mp4 19.2 MB
17-Wrapping Up Deep CNN.mp4 19.2 MB
10-Multiple Hidden Layer Results.mp4 18.2 MB
08-Single Hidden Layer Explained.mp4 17.9 MB
14-Pooling Layer Application.mp4 16.8 MB
16-Deeper CNN.mp4 16.3 MB
20-RNNs in skflow.mp4 15.7 MB
11-Convolutional Layer Motivation.mp4 13.4 MB
01-The Course Overview.mp4 11.6 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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- 【影视】 Build, Train, and Deploy Your First Neural Network with TensorFlow (Jerry Kurata, 2020)
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05. Applying the Machine Learning Workflow with TensorFlow/6. Training the Model.mp4 16.2 MB
09. Deploying Your Neural Network/4. Using TensorFlow Model Serving.mp4 14.0 MB
05. Applying the Machine Learning Workflow with TensorFlow/4. Preparing the Data.mp4 13.7 MB
07. Building and Training Your First Neural Network/2. Getting and Preparing the Data.mp4 11.3 MB
08. Monitoring and Improving Neural Network Performance/2. TensorBoard Setup.mp4 11.0 MB
08. Monitoring and Improving Neural Network Performance/4. Reducing Training Data Overfitting.mp4 10.6 MB
05. Applying the Machine Learning Workflow with TensorFlow/1. Setting up the Example.mp4 10.5 MB
06. Understanding Neural Networks/4. Activation Functions.mp4 9.4 MB
08. Monitoring and Improving Neural Network Performance/3. Monitoring Your Trained Model’s Performance.mp4 9.4 MB
03. Setting up the TensorFlow Environment/5. Sequencing Code Execution.mp4 9.3 MB
07. Building and Training Your First Neural Network/4. Demo - Creating the Model.mp4 9.2 MB
05. Applying the Machine Learning Workflow with TensorFlow/5. Creating the Model.mp4 8.8 MB
08. Monitoring and Improving Neural Network Performance/6. Early Stopping.mp4 8.7 MB
05. Applying the Machine Learning Workflow with TensorFlow/2. Defining the Problem and Getting Data.mp4 8.6 MB
06. Understanding Neural Networks/6. Predicting with an Untrained Neural Network.mp4 8.3 MB
06. Understanding Neural Networks/7. Training a Neural Network.mp4 8.3 MB
05. Applying the Machine Learning Workflow with TensorFlow/7. Improving Performance.mp4 8.0 MB
07. Building and Training Your First Neural Network/1. Building a Neural Network in TensorFlow.mp4 7.9 MB
05. Applying the Machine Learning Workflow with TensorFlow/3. Exploring the Data.mp4 7.9 MB
07. Building and Training Your First Neural Network/3. Creating the Model.mp4 7.8 MB
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- 【影视】 Tensorflow 2.0 Deep Learning and Artificial Intelligence
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[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/18. Setting up your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.mp4 189.7 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 157.9 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 130.1 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.7 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 110.1 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 103.4 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 94.5 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 91.4 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 87.0 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/5. CNN Architecture.mp4 84.5 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/5. Activation Functions.mp4 84.4 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4 83.7 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.6 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.6 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4 82.1 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 80.6 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Beginner's Coding Tips.mp4 79.4 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 77.7 MB
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9 - Recurrent Neural Networks RNNs/89 - Bonus Multivariate Time Series RNN and LSTMs.mp4 246.5 MB
1 - Course Overview Installs and Setup/3 - Course Setup and Installation.mp4 242.8 MB
9 - Recurrent Neural Networks RNNs/88 - RNN Exercise Solutions.mp4 240.8 MB
7 - Basic Artificial Neural Networks ANNs/58 - Tensorboard.mp4 236.0 MB
7 - Basic Artificial Neural Networks ANNs/51 - Keras Project Solutions Exploratory Data Analysis.mp4 230.7 MB
13 - Deployment/116 - Live Deployment to the Web.mp4 204.9 MB
9 - Recurrent Neural Networks RNNs/86 - RNN on a Time Series Part Two.mp4 204.9 MB
7 - Basic Artificial Neural Networks ANNs/43 - Keras Regression Code Along Exploratory Data Analysis.mp4 200.3 MB
12 - Generative Adversarial Networks/107 - Creating a GAN Part Three Model Training.mp4 181.3 MB
7 - Basic Artificial Neural Networks ANNs/48 - Keras Classification Dealing with Overfitting and Evaluation.mp4 179.4 MB
13 - Deployment/115 - Flask Front End.mp4 175.6 MB
11 - AutoEncoders/99 - Autoencoder for Dimensionality Reduction.mp4 175.4 MB
4 - Pandas Crash Course/18 - Data Input and Output.mp4 159.1 MB
8 - Convolutional Neural Networks CNNs/72 - CNN on Real Image Files Part Three Creating the Model.mp4 141.9 MB
7 - Basic Artificial Neural Networks ANNs/52 - Keras Project Solutions Dealing with Missing Data.mp4 139.8 MB
7 - Basic Artificial Neural Networks ANNs/41 - Keras Syntax Basics Part Two Creating and Training the Model.mp4 131.0 MB
13 - Deployment/110 - Creating the Model.mp4 128.0 MB
5 - Visualization Crash Course/23 - Seaborn Basics.mp4 125.8 MB
7 - Basic Artificial Neural Networks ANNs/53 - Keras Project Solutions Dealing with Missing Data Part Two.mp4 124.3 MB
8 - Convolutional Neural Networks CNNs/71 - CNN on Real Image Files Part Two Data Processing.mp4 123.9 MB
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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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3.2. TensorFlow Basics/10.Operations, or ops.mp4 15.7 MB
3.2. TensorFlow Basics/11.Model introduction.mp4 14.2 MB
2.1. Introduction and Setup/07.Initial project creation with TensorFlow.mp4 12.9 MB
3.2. TensorFlow Basics/12.Layers introduction.mp4 12.6 MB
4.3. Exploration of a Full Project/14.Exploration of the dataset.mp4 12.1 MB
3.2. TensorFlow Basics/09.Tensors and variables.mp4 12.0 MB
4.3. Exploration of a Full Project/16.Exploration of training the model.mp4 11.8 MB
4.3. Exploration of a Full Project/17.See the live example.mp4 11.6 MB
5.4. Advanced Subjects/18.Use Python-based models in JS.mp4 10.8 MB
2.1. Introduction and Setup/06.A TensorFlow demo.mp4 9.7 MB
5.4. Advanced Subjects/19.Convert SavedModel to web.mp4 7.8 MB
4.3. Exploration of a Full Project/15.Exploration of the models and layers.mp4 7.8 MB
3.2. TensorFlow Basics/08.Your first tensor.mp4 7.0 MB
1.Introduction/01.Learning TensorFlow.mp4 5.6 MB
4.3. Exploration of a Full Project/13.Import example project.mp4 5.3 MB
2.1. Introduction and Setup/05.Introduction to machine learning.mp4 4.8 MB
2.1. Introduction and Setup/03.Introduction to TensorFlow.mp4 3.3 MB
6.Conclusion/20.Next steps.mp4 1.9 MB
2.1. Introduction and Setup/04.Differences between versions.mp4 1.8 MB
1.Introduction/02.Course prerequisites.mp4 1.3 MB
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01.Welcome! Course introduction/0101.Meet your instructors and why you should study machine learning.mp4 88.9 MB
06.Going deeper Introduction to deep neural networks/0603.Understanding deep nets in depth.mp4 61.0 MB
02.Introduction to neural networks/0212.N-parameter gradient descent.mp4 60.4 MB
02.Introduction to neural networks/0211.One parameter gradient descent.mp4 59.1 MB
06.Going deeper Introduction to deep neural networks/0607.Backpropagation.mp4 55.3 MB
03.Setting up the working environment/0306.Installing TensorFlow 2.mp4 53.7 MB
02.Introduction to neural networks/0201.Introduction to neural networks.mp4 48.0 MB
12.Business case/1204.Preprocessing the data.mp4 46.7 MB
02.Introduction to neural networks/0206.The linear model. Multiple inputs and multiple outputs.mp4 44.3 MB
05.TensorFlow - An introduction/0501.TensorFlow outline.mp4 44.0 MB
02.Introduction to neural networks/0203.Types of machine learning.mp4 42.8 MB
10.Preprocessing/1003.Standardization.mp4 42.3 MB
13.Conclusion/1305.An overview of non-NN approaches.mp4 42.1 MB
01.Welcome! Course introduction/0102.What does the course cover.mp4 41.0 MB
13.Conclusion/1301.See how much you have learned.mp4 40.8 MB
06.Going deeper Introduction to deep neural networks/0604.Why do we need non-linearities.mp4 39.8 MB
06.Going deeper Introduction to deep neural networks/0605.Activation functions.mp4 39.8 MB
05.TensorFlow - An introduction/0502.TensorFlow 2 intro.mp4 39.7 MB
07.Overfitting/0703.Training and validation.mp4 39.3 MB
09.Gradient descent and learning rates/0904.Learning rate schedules.mp4 38.9 MB
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01.Welcome! Course introduction/0101.Meet your instructors and why you should study machine learning.mp4 88.9 MB
06.Going deeper Introduction to deep neural networks/0603.Understanding deep nets in depth.mp4 61.0 MB
02.Introduction to neural networks/0212.N-parameter gradient descent.mp4 60.4 MB
02.Introduction to neural networks/0211.One parameter gradient descent.mp4 59.1 MB
06.Going deeper Introduction to deep neural networks/0607.Backpropagation.mp4 55.3 MB
03.Setting up the working environment/0306.Installing TensorFlow 2.mp4 53.7 MB
02.Introduction to neural networks/0201.Introduction to neural networks.mp4 48.0 MB
12.Business case/1204.Preprocessing the data.mp4 46.7 MB
02.Introduction to neural networks/0206.The linear model. Multiple inputs and multiple outputs.mp4 44.3 MB
05.TensorFlow - An introduction/0501.TensorFlow outline.mp4 44.0 MB
02.Introduction to neural networks/0203.Types of machine learning.mp4 42.8 MB
10.Preprocessing/1003.Standardization.mp4 42.3 MB
13.Conclusion/1305.An overview of non-NN approaches.mp4 42.1 MB
01.Welcome! Course introduction/0102.What does the course cover.mp4 41.0 MB
13.Conclusion/1301.See how much you have learned.mp4 40.8 MB
06.Going deeper Introduction to deep neural networks/0604.Why do we need non-linearities.mp4 39.8 MB
06.Going deeper Introduction to deep neural networks/0605.Activation functions.mp4 39.8 MB
05.TensorFlow - An introduction/0502.TensorFlow 2 intro.mp4 39.7 MB
07.Overfitting/0703.Training and validation.mp4 39.3 MB
09.Gradient descent and learning rates/0904.Learning rate schedules.mp4 38.9 MB
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13. Business case/4. Preprocessing the data.mp4 82.6 MB
14. Conclusion/3. An overview of CNNs.mp4 75.4 MB
6. Deep nets overview/3. Really understand deep nets.mp4 61.0 MB
13. Business case/10. Homework.mp4 60.3 MB
13. Business case/5. Creating the batching class.mp4 59.4 MB
2. Neural networks Intro/11. One-parameter gradient descent.mp4 59.1 MB
12. Deeper example/9. Commenting on the results.mp4 55.3 MB
6. Deep nets overview/7. Backpropagation.mp4 55.3 MB
13. Business case/1. The dataset.mp4 55.2 MB
2. Neural networks Intro/12. N-parameter gradient descent.mp4 52.5 MB
1. Introduction/2. What does the course cover.mp4 51.6 MB
14. Conclusion/1. Summary.mp4 50.9 MB
4. Minimal example/4. Training the model.mp4 48.8 MB
13. Business case/6. Outlining the model.mp4 48.5 MB
12. Deeper example/4. MNIST - Outlining the model.mp4 47.2 MB
13. Business case/3. Balancing a dataset.mp4 47.1 MB
5. Introduction to TensorFlow/1. TensorFlow outline.mp4 46.8 MB
2. Neural networks Intro/1. Introduction to neural networks.mp4 44.6 MB
2. Neural networks Intro/6. The linear model. Multiple inputs and multiple outputs.mp4 44.3 MB
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~Get Your Files Here !/1. Deep Learning Basics.mp4 173.0 MB
~Get Your Files Here !/12. Transfer Learning.mp4 136.6 MB
~Get Your Files Here !/2. Basic Maths for Deep Learning.mp4 117.8 MB
~Get Your Files Here !/14. Augmentation.mp4 115.1 MB
~Get Your Files Here !/9. Augmentation Technique.mp4 115.1 MB
~Get Your Files Here !/16. Recurrent neural networks.mp4 109.2 MB
~Get Your Files Here !/3. Python Introduction.mp4 76.1 MB
~Get Your Files Here !/10. Deep Learning Part 1.mp4 68.9 MB
~Get Your Files Here !/17. Long Short-Term Memory RNN.mp4 68.8 MB
~Get Your Files Here !/13. TensorBoard.mp4 61.6 MB
~Get Your Files Here !/11. Deep Learning Part 2.mp4 58.3 MB
~Get Your Files Here !/5. Set Data Type.mp4 54.9 MB
~Get Your Files Here !/6. Convolutional Neural Network.mp4 53.3 MB
~Get Your Files Here !/7. Adam's Optimiser.mp4 38.0 MB
~Get Your Files Here !/4. List Tuple Data Types.mp4 38.0 MB
~Get Your Files Here !/8. Custom CallBacks.mp4 35.5 MB
~Get Your Files Here !/15. Bi- Directional RNN.mp4 33.1 MB
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3. Natural language processing/6. Q&A and information retrieval 2.mp4 162.5 MB
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2. Computer vision/2. Image classification 1.mp4 107.9 MB
2. Computer vision/14. Image extension using GAN 2.mp4 99.0 MB
3. Natural language processing/8. Q&A and information retrieval 4.mp4 96.5 MB
2. Computer vision/17. Action recognition 3.mp4 95.5 MB
3. Natural language processing/9. Q&A and information retrieval 5.mp4 92.7 MB
2. Computer vision/9. Object detection 3.mp4 90.5 MB
2. Computer vision/6. Image classification 5.mp4 89.9 MB
3. Natural language processing/3. Text classification 2.mp4 87.7 MB
2. Computer vision/15. Action recognition 1.mp4 85.5 MB
3. Natural language processing/7. Q&A and information retrieval 3.mp4 84.3 MB
1. Introduction/1. Course content.mp4 83.2 MB
2. Computer vision/18. Action recognition 4.mp4 79.1 MB
2. Computer vision/3. Image classification 2.mp4 71.6 MB
2. Computer vision/4. Image classification 3.mp4 68.4 MB
3. Natural language processing/10. Audio classification 1.mp4 68.2 MB
4. Extra content 1 Artificial neural networks/8. Bias, error, stochastic gradient descent, and more parameters.mp4 66.5 MB
2. Computer vision/11. Style transfer 2.mp4 65.5 MB
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[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/9 - Recurrent Neural Networks RNNs/89 - Bonus Multivariate Time Series RNN and LSTMs.mp4 246.5 MB
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[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/9 - Recurrent Neural Networks RNNs/88 - RNN Exercise Solutions.mp4 240.8 MB
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[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/13 - Deployment/116 - Live Deployment to the Web.mp4 204.9 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/9 - Recurrent Neural Networks RNNs/86 - RNN on a Time Series Part Two.mp4 204.9 MB
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[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/11 - AutoEncoders/99 - Autoencoder for Dimensionality Reduction.mp4 175.4 MB
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~Get Your Files Here !/3. MNIST Example with Tensorflow/10. Pytorch MNIST Code Walk Through.mp4 160.1 MB
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~Get Your Files Here !/3. MNIST Example with Tensorflow/2. MNIST Tensorflow- example code walk through.mp4 125.4 MB
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~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
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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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~Get Your Files Here !/01 - Introduction/001 Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit.mp4 153.4 MB
~Get Your Files Here !/02 - TensorFlow 2.0 Basics/001 From TensorFlow 1.x to TensorFlow 2.0.mp4 120.4 MB
~Get Your Files Here !/17 - Annex 3 - Recurrent Neural Networks Theory/005 LSTM Practical Intuition.mp4 112.7 MB
~Get Your Files Here !/17 - Annex 3 - Recurrent Neural Networks Theory/004 LSTMs.mp4 93.2 MB
~Get Your Files Here !/16 - Annex 2 - Convolutional Neural Networks Theory/005 Step 2 - Max Pooling.mp4 91.7 MB
~Get Your Files Here !/17 - Annex 3 - Recurrent Neural Networks Theory/003 Vanishing Gradient.mp4 90.4 MB
~Get Your Files Here !/16 - Annex 2 - Convolutional Neural Networks Theory/002 What are Convolutional Neural Networks.mp4 74.5 MB
~Get Your Files Here !/16 - Annex 2 - Convolutional Neural Networks Theory/003 Step 1 - Convolution.mp4 68.8 MB
~Get Your Files Here !/10 - Dataset Preprocessing with TensorFlow Transform (TFT)/005 Dataset preprocessing pipeline.mp4 62.7 MB
~Get Your Files Here !/16 - Annex 2 - Convolutional Neural Networks Theory/007 Step 4 - Full Connection.mp4 61.4 MB
~Get Your Files Here !/17 - Annex 3 - Recurrent Neural Networks Theory/002 What are Recurrent Neural Networks.mp4 60.3 MB
~Get Your Files Here !/04 - Convolutional Neural Networks/002 Building the Convolutional Neural Network.mp4 59.3 MB
~Get Your Files Here !/07 - Deep Reinforcement Learning Theory/009 Action Selection Policies.mp4 57.0 MB
~Get Your Files Here !/16 - Annex 2 - Convolutional Neural Networks Theory/009 Softmax & Cross-Entropy.mp4 53.9 MB
~Get Your Files Here !/07 - Deep Reinforcement Learning Theory/002 The Bellman Equation.mp4 50.6 MB
~Get Your Files Here !/06 - Transfer Learning and Fine Tuning/001 What is Transfer Learning.mp4 48.7 MB
~Get Your Files Here !/06 - Transfer Learning and Fine Tuning/002 Project Setup.mp4 46.6 MB
~Get Your Files Here !/15 - Annex 1 - Artificial Neural Networks Theory/002 The Neuron.mp4 45.8 MB
~Get Your Files Here !/15 - Annex 1 - Artificial Neural Networks Theory/005 How do Neural Networks Learn.mp4 45.4 MB
~Get Your Files Here !/07 - Deep Reinforcement Learning Theory/003 Markov Decision Process (MDP).mp4 44.4 MB
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