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【影视】 [FreeCoursesOnline.Me] PacktPub - Mastering Keras [Video]

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2. Working with the Keras Functional API/CNNs and Basic Image Classification - Mastering Keras [Video].mp4 252.4 MB
3. Developing and Implementing Deep Generative Models/Implementing VAEs in Keras - Mastering Keras [Video].mp4 65.5 MB
7. One-Shot and Deep Semi-Supervised Learning/Siamese Networks - Mastering Keras [Video].mp4 56.5 MB
3. Developing and Implementing Deep Generative Models/Implementing GANs in Keras - Mastering Keras [Video].mp4 54.5 MB
2. Working with the Keras Functional API/MLPs and Simple Data Analytics - Mastering Keras [Video].mp4 54.0 MB
2. Working with the Keras Functional API/RNNs and Sequential Data Analysis - Mastering Keras [Video].mp4 52.6 MB
6. Deep Reinforcement Learning/(Epsilon) Q-Learning and Deep Q-Networks - Mastering Keras [Video].mp4 51.5 MB
6. Deep Reinforcement Learning/Dealing with Instability (1)- Experiential Replay - Mastering Keras [Video].mp4 45.1 MB
6. Deep Reinforcement Learning/Advantage Networks - Mastering Keras [Video].mp4 42.4 MB
4. Advanced CNNs/Residual Networks-Layers - Mastering Keras [Video].mp4 40.1 MB
4. Advanced CNNs/Working with Inception Networks- Layers - Mastering Keras [Video].mp4 35.1 MB
2. Working with the Keras Functional API/AEs and Denoising Data - Mastering Keras [Video].mp4 30.5 MB
6. Deep Reinforcement Learning/Dealing with Instability (2)- Double Deep Q-Networks - Mastering Keras [Video].mp4 27.8 MB
4. Advanced CNNs/Dense Networks - Mastering Keras [Video].mp4 27.7 MB
4. Advanced CNNs/Transfer Learning- Applying Advanced Architectures on Real Data - Mastering Keras [Video].mp4 25.4 MB
5. Object Detection/Fast RCNNs - Mastering Keras [Video].mp4 22.8 MB
5. Object Detection/Region Proposal Networks and Faster RCNNs - Mastering Keras [Video].mp4 22.7 MB
1. Preparing Yourself for Mastering Keras Journey/Setting Up the Environment and Teaching Methodology.mp4 21.1 MB
6. Deep Reinforcement Learning/Reinforcement Learning Basics - Mastering Keras [Video].mp4 20.5 MB
7. One-Shot and Deep Semi-Supervised Learning/Semi-Supervised Learning Using GANs - Mastering Keras [Video].mp4 20.1 MB

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【压缩文件】 [ FreeCourseWeb.com ] Advanced Deep Learning with TensorFlow 2 and Keras- Apply DL Techniques, GANs, VAEs, deep RL, SSL, object detection.zip

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[ FreeCourseWeb.com ] Advanced Deep Learning with TensorFlow 2 and Keras- Apply DL Techniques, GANs, VAEs, deep RL, SSL, object detection.zip 365.3 MB

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【影视】 Artificial Neural Networks (ANN) with Keras in Python and R

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[TutsNode.com] - Artificial Neural Networks (ANN) with Keras in Python and R/15. R - Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 226.6 MB
[TutsNode.com] - Artificial Neural Networks (ANN) with Keras in Python and R/12. Python - Regression problems and Functional API/1. Building Neural Network for Regression Problem.mp4 163.4 MB
[TutsNode.com] - Artificial Neural Networks (ANN) with Keras in Python and R/14. Python - Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 159.0 MB
[TutsNode.com] - Artificial Neural Networks (ANN) with Keras in Python and R/13. R - Regression Problem and Functional API/1. Building Regression Model with Functional AP.mp4 137.5 MB
[TutsNode.com] - Artificial Neural Networks (ANN) with Keras in Python and R/11. R - Building and training the Model/1. Building,Compiling and Training.mp4 137.1 MB
[TutsNode.com] - Artificial Neural Networks (ANN) with Keras in Python and R/5. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
[TutsNode.com] - Artificial Neural Networks (ANN) with Keras in Python and R/9. Dataset for classification problem/3. R - Dataset, Normalization and Test-Train set.mp4 117.2 MB
[TutsNode.com] - Artificial Neural Networks (ANN) with Keras in Python and R/18. Add on Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.mp4 105.4 MB
[TutsNode.com] - Artificial Neural Networks (ANN) with Keras in Python and R/11. R - Building and training the Model/2. Evaluating and Predicting.mp4 104.1 MB
[TutsNode.com] - Artificial Neural Networks (ANN) with Keras in Python and R/18. Add on Data Preprocessing/8. EDD in R.mp4 101.7 MB
[TutsNode.com] - Artificial Neural Networks (ANN) with Keras in Python and R/3. Setting up R Studio and R Crash Course/7. Creating Barplots in R.mp4 101.5 MB
[TutsNode.com] - Artificial Neural Networks (ANN) with Keras in Python and R/12. Python - Regression problems and Functional API/2. Using Functional API for complex architectures.mp4 96.6 MB
[TutsNode.com] - Artificial Neural Networks (ANN) with Keras in Python and R/4. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4 90.8 MB
[TutsNode.com] - Artificial Neural Networks (ANN) with Keras in Python and R/3. Setting up R Studio and R Crash Course/3. Packages in R.mp4 87.0 MB
[TutsNode.com] - Artificial Neural Networks (ANN) with Keras in Python and R/10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4 85.6 MB
[TutsNode.com] - Artificial Neural Networks (ANN) with Keras in Python and R/13. R - Regression Problem and Functional API/2. Complex Architectures using Functional API.mp4 83.4 MB
[TutsNode.com] - Artificial Neural Networks (ANN) with Keras in Python and R/10. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4 83.0 MB
[TutsNode.com] - Artificial Neural Networks (ANN) with Keras in Python and R/19. Test Train Split/4. Test train split in R.mp4 79.3 MB
[TutsNode.com] - Artificial Neural Networks (ANN) with Keras in Python and R/18. Add on Data Preprocessing/10. Outlier Treatment in Python.mp4 73.7 MB
[TutsNode.com] - Artificial Neural Networks (ANN) with Keras in Python and R/10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4 73.3 MB

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【影视】 [FreeCourseSite.com] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API

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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.srt 147.0 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

猜你喜欢： Complete FreeCourseSite Keras Udemy API using TensorFlow 2.0 com Guide

【影视】 [FreeCourseSite.com] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API

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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.srt 147.0 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

猜你喜欢： Complete FreeCourseSite Keras Udemy API using TensorFlow 2.0 com Guide

【影视】 Egghead - Fully Connected Neural Networks with Keras [AhLaN]

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05-Create a Dense Neural Network for Multi Category Classification with Keras.mp4 12.1 MB
12-Make Predictions on New Data with a Multi Category Classification Network.mp4 11.2 MB
17-Testing Different Neural Network Topologies.mp4 11.0 MB
16-Separate Training and Validation Data Automatically in Keras with validation_split.mp4 10.2 MB
04-Course Introduction Fully Connected Neural Networks.mp4 7.9 MB
06-Create a Fully Connected TensorFlow Neural Network .mp4 7.0 MB
01-Change the Learning Rate of the Adam Optimizer on a Keras Network.mp4 6.9 MB
13-Make Predictions on New Data with a Trained Keras Models.mp4 6.7 MB
14-Manually Set Validation Data While Training a Keras Model.mp4 6.5 MB
07-Create a Neural Network for Two Category Classification with Keras.mp4 6.3 MB
18-Train a Sequential Keras Model with Sample Data.mp4 6.1 MB
09-Import Data From a CSV to Use with a Keras Model Using NumPy’s genfromtxt Method.mp4 4.8 MB
15-Save a Trained Keras Model Weights and Topology to a File.mp4 4.6 MB
08-Evaluate a Keras Model with Test Data.mp4 4.4 MB
11-Make Binary Class Predictions with Keras Using predict and predict_classes.mp4 4.1 MB
19-Understand the Structure of a Keras Model by Viewing the Model Summary.mp4 3.9 MB
02-Change the Optimizer Learning Rate During Keras Model Training.mp4 3.8 MB
03-Continue to Train an Already Trained Keras Model with New Data.mp4 3.4 MB
10-Load and Use a Saved Keras Model.mp4 2.4 MB
Seed Me!!.png 43.1 kB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - CNN for Computer Vision with Keras and TensorFlow in R.zip

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[ FreeCourseWeb.com ] Udemy - CNN for Computer Vision with Keras and TensorFlow in R.zip 2.8 GB

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【影视】 [CourseClub.Me] PacktPub - Mastering Keras [Video]

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2. Working with the Keras Functional API/CNNs and Basic Image Classification - Mastering Keras [Video].mp4 252.4 MB
3. Developing and Implementing Deep Generative Models/Implementing VAEs in Keras - Mastering Keras [Video].mp4 65.5 MB
7. One-Shot and Deep Semi-Supervised Learning/Siamese Networks - Mastering Keras [Video].mp4 56.5 MB
3. Developing and Implementing Deep Generative Models/Implementing GANs in Keras - Mastering Keras [Video].mp4 54.5 MB
2. Working with the Keras Functional API/MLPs and Simple Data Analytics - Mastering Keras [Video].mp4 54.0 MB
2. Working with the Keras Functional API/RNNs and Sequential Data Analysis - Mastering Keras [Video].mp4 52.6 MB
6. Deep Reinforcement Learning/(Epsilon) Q-Learning and Deep Q-Networks - Mastering Keras [Video].mp4 51.5 MB
6. Deep Reinforcement Learning/Dealing with Instability (1)- Experiential Replay - Mastering Keras [Video].mp4 45.1 MB
6. Deep Reinforcement Learning/Advantage Networks - Mastering Keras [Video].mp4 42.4 MB
4. Advanced CNNs/Residual Networks-Layers - Mastering Keras [Video].mp4 40.1 MB
4. Advanced CNNs/Working with Inception Networks- Layers - Mastering Keras [Video].mp4 35.1 MB
2. Working with the Keras Functional API/AEs and Denoising Data - Mastering Keras [Video].mp4 30.5 MB
6. Deep Reinforcement Learning/Dealing with Instability (2)- Double Deep Q-Networks - Mastering Keras [Video].mp4 27.8 MB
4. Advanced CNNs/Dense Networks - Mastering Keras [Video].mp4 27.7 MB
4. Advanced CNNs/Transfer Learning- Applying Advanced Architectures on Real Data - Mastering Keras [Video].mp4 25.4 MB
5. Object Detection/Fast RCNNs - Mastering Keras [Video].mp4 22.8 MB
5. Object Detection/Region Proposal Networks and Faster RCNNs - Mastering Keras [Video].mp4 22.7 MB
1. Preparing Yourself for Mastering Keras Journey/Setting Up the Environment and Teaching Methodology.mp4 21.1 MB
6. Deep Reinforcement Learning/Reinforcement Learning Basics - Mastering Keras [Video].mp4 20.5 MB
7. One-Shot and Deep Semi-Supervised Learning/Semi-Supervised Learning Using GANs - Mastering Keras [Video].mp4 20.1 MB

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【影视】 [FreeAllCourse.Com] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API

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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

猜你喜欢： Complete Keras FreeAllCourse Udemy API using TensorFlow 2.0 Com Guide

【影视】 GetFreeCourses.Co-Udemy-Complete Tensorflow 2 and Keras Deep Learning Bootcamp

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1. Course Overview, Installs, and Setup/3. Course Setup and Installation.mp4 159.8 MB
13. Deployment/7. Flask Front End.mp4 156.9 MB
9. Recurrent Neural Networks - RNNs/14. Bonus - Multivariate Time Series - RNN and LSTMs.mp4 156.6 MB
9. Recurrent Neural Networks - RNNs/13. RNN Exercise - Solutions.mp4 155.3 MB
7. Basic Artificial Neural Networks - ANNs/27. Tensorboard.mp4 151.2 MB
7. Basic Artificial Neural Networks - ANNs/20. Keras Project Solutions - Exploratory Data Analysis.mp4 150.6 MB
7. Basic Artificial Neural Networks - ANNs/12. Keras Regression Code Along - Exploratory Data Analysis.mp4 143.7 MB
12. Generative Adversarial Networks/4. Creating a GAN - Part Three - Model Training.mp4 138.0 MB
9. Recurrent Neural Networks - RNNs/11. RNN on a Time Series - Part Two.mp4 137.4 MB
13. Deployment/8. Live Deployment to the Web.mp4 132.7 MB
7. Basic Artificial Neural Networks - ANNs/23. Keras Project Solutions - Categorical Data.mp4 131.1 MB
11. AutoEncoders/3. Autoencoder for Dimensionality Reduction.mp4 123.2 MB
7. Basic Artificial Neural Networks - ANNs/17. Keras Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
1. Course Overview, Installs, and Setup/3.1 FINAL_TF2_FILES.zip 104.1 MB
1. Course Overview, Installs, and Setup/4.1 FINAL_TF2_FILES.zip 104.1 MB
8. Convolutional Neural Networks - CNNs/7. CNN on MNIST - Part Two - Creating and Training the Model.mp4 103.7 MB
7. Basic Artificial Neural Networks - ANNs/21. Keras Project Solutions - Dealing with Missing Data.mp4 101.5 MB
11. AutoEncoders/4. Autoencoder for Images - Part One.mp4 98.7 MB
4. Pandas Crash Course/8. Data Input and Output.mp4 98.0 MB
5. Visualization Crash Course/3. Seaborn Basics.mp4 96.3 MB

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【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】 [FreeCourseSite.com] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API

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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

猜你喜欢： Complete FreeCourseSite Keras Udemy API using TensorFlow 2.0 com Guide

【影视】 [FreeCourseSite.com] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API

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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
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[TutsNode.com] - Deep Learning using Keras - Complete & Compact Dummies Guide/01 Course Introduction and Table of Contents/001 Course Introduction and Table of Contents.mp4 267.6 MB
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01 Course Introduction and Table of Contents/001 Course Introduction and Table of Contents.mp4 267.6 MB
17 Step 2 and 3 EDA and Data Preparation/001 Step 2 and 3 EDA and Data Preparation - Part 1.mp4 157.0 MB
52 Hyper Parameter Tuning/002 Hyper Parameter Tuning - Part 2.mp4 131.7 MB
40 CNN Basics/001 CNN Basics.mp4 131.6 MB
17 Step 2 and 3 EDA and Data Preparation/002 Step 2 and 3 EDA and Data Preparation - Part 2.mp4 126.3 MB
19 Step 5 and 6 Compile and Fit Model/001 Step 5 and 6 Compile and Fit Model.mp4 115.6 MB
45 Flowers Classification CNN - Training and Visualization/001 Flowers Classification CNN - Training and Visualization.mp4 111.7 MB
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38 Keras Directory Image Augmentation/001 Keras Directory Image Augmentation.mp4 110.8 MB
37 Keras Single Image Augmentation/001 Keras Single Image Augmentation - Part 1.mp4 109.1 MB
30 Step 2 - EDA and Data Visualization/001 Step 2 - EDA and Data Visualization.mp4 106.0 MB
54 VGG16 and VGG19 prediction/001 VGG16 and VGG19 prediction - Part 1.mp4 105.6 MB
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01 Course Introduction and Table of Contents/001 Course Introduction and Table of Contents.mp4 267.6 MB
17 Step 2 and 3 EDA and Data Preparation/001 Step 2 and 3 EDA and Data Preparation - Part 1.mp4 157.0 MB
52 Hyper Parameter Tuning/002 Hyper Parameter Tuning - Part 2.mp4 131.7 MB
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17 Step 2 and 3 EDA and Data Preparation/002 Step 2 and 3 EDA and Data Preparation - Part 2.mp4 126.3 MB
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45 Flowers Classification CNN - Training and Visualization/001 Flowers Classification CNN - Training and Visualization.mp4 111.7 MB
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38 Keras Directory Image Augmentation/001 Keras Directory Image Augmentation.mp4 110.8 MB
37 Keras Single Image Augmentation/001 Keras Single Image Augmentation - Part 1.mp4 109.1 MB
30 Step 2 - EDA and Data Visualization/001 Step 2 - EDA and Data Visualization.mp4 106.0 MB
54 VGG16 and VGG19 prediction/001 VGG16 and VGG19 prediction - Part 1.mp4 105.6 MB
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39 Keras Data Frame Augmentation/001 Keras Data Frame Augmentation.mp4 103.9 MB
52 Hyper Parameter Tuning/001 Hyper Parameter Tuning - Part 1.mp4 102.7 MB
41 Stride Padding and Flattening Concepts of CNN/001 Stride Padding and Flattening Concepts of CNN.mp4 100.8 MB
53 Transfer Learning using Pretrained Models - VGG Introduction/001 Transfer Learning using Pretrained Models - VGG Introduction.mp4 100.6 MB
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