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[ FreeCourseWeb.com ] The Deep Learning with Keras Workshop- An interactive approach to undersanding Deep learning with Keras, 2nd Edition.zip 245.6 MB

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~Get Your Files Here !/5 - Building Recurrent Neural Network/13 - Solving the problem with Keras.mp4 104.7 MB
~Get Your Files Here !/3 - Building Deep Neural Network/8 - Solving the problem with Keras.mp4 98.7 MB
~Get Your Files Here !/1 - Introduction to Keras/2 - Environment setup and Installations.mp4 93.9 MB
~Get Your Files Here !/4 - Building Convolutional Neural Network/11 - Building VGG16 network architecture.mp4 76.9 MB
~Get Your Files Here !/2 - Building a Simple Keras model/4 - Compiling the Model.mp4 41.4 MB
~Get Your Files Here !/1 - Introduction to Keras/1 - Different DeepLearning Frameworks vs Keras.mp4 35.9 MB
~Get Your Files Here !/2 - Building a Simple Keras model/5 - Fitting the Model.mp4 35.8 MB
~Get Your Files Here !/4 - Building Convolutional Neural Network/9 - Explanation and Problem Description.mp4 32.9 MB
~Get Your Files Here !/2 - Building a Simple Keras model/3 - Define Model Architecture.mp4 32.3 MB
~Get Your Files Here !/3 - Building Deep Neural Network/7 - Explanation and Problem Description.mp4 24.9 MB
~Get Your Files Here !/2 - Building a Simple Keras model/6 - Evaluating and Predicting with the Model.mp4 20.8 MB
~Get Your Files Here !/5 - Building Recurrent Neural Network/12 - Explanation and Problem Description.mp4 17.2 MB
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~Get Your Files Here !/4 - Building Convolutional Neural Network/10 - Solving the problem with Keras English.vtt 10.0 kB
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ZERO TO DEEP LEARNING WITH PYTHON AND KERAS/[FreeTutorials.Us] zero-to-deep-learning/Freetutorials.Us.url 119 Bytes
ZERO TO DEEP LEARNING WITH PYTHON AND KERAS/[FreeTutorials.Us] zero-to-deep-learning/09-improving-performance/133-exercise-2-solution.html 331 Bytes
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ZERO TO DEEP LEARNING WITH PYTHON AND KERAS/[FreeTutorials.Us] zero-to-deep-learning/01-welcome-to-the-course/001-introduction.html 1.0 kB
ZERO TO DEEP LEARNING WITH PYTHON AND KERAS/[FreeTutorials.Us] zero-to-deep-learning/01-welcome-to-the-course/005-obtain-the-code-for-the-course.html 1.5 kB
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ZERO TO DEEP LEARNING WITH PYTHON AND KERAS/[FreeTutorials.Us] zero-to-deep-learning/02-data/021-exercise-4-presentation.mp4 1.6 MB
ZERO TO DEEP LEARNING WITH PYTHON AND KERAS/[FreeTutorials.Us] zero-to-deep-learning/02-data/019-exercise-3-presentation.mp4 1.8 MB
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ZERO TO DEEP LEARNING WITH PYTHON AND KERAS/[FreeTutorials.Us] zero-to-deep-learning/04-deep-learning-intro/056-exercise-2-presentation.mp4 3.2 MB
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01-welcome-to-the-course/github link.txt 59 Bytes
[FreeTutorials.Us].txt 75 Bytes
Freetutorials.Us.url 119 Bytes
08-recurrent-neural-networks/110-vanishing-gradients.html 331 Bytes
08-recurrent-neural-networks/118-exercise-2-solution.html 331 Bytes
09-improving-performance/132-exercise-1-solution.html 331 Bytes
09-improving-performance/133-exercise-2-solution.html 331 Bytes
01-welcome-to-the-course/001-introduction.html 1.0 kB
01-welcome-to-the-course/005-obtain-the-code-for-the-course.html 1.5 kB
07-cloud-gpus/107-floyd-gpu-notebook-setup.html 2.7 kB
FreeTutorials.Us-zero-to-deep-learning.torrent 42.5 kB
Capture.JPG 97.5 kB
02-data/021-exercise-4-presentation.mp4 1.6 MB
02-data/019-exercise-3-presentation.mp4 1.8 MB
02-data/017-exercise-2-presentation.mp4 2.0 MB
04-deep-learning-intro/060-exercise-4-presentation.mp4 2.0 MB
02-data/023-exercise-5-presentation.mp4 2.2 MB
05-gradient-descent/080-exercise-2-presentation.mp4 2.5 MB
04-deep-learning-intro/058-exercise-3-presentation.mp4 3.0 MB
05-gradient-descent/082-exercise-3-presentation.mp4 3.1 MB

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video3_9.mp4 33.7 MB
video1_1.mp4 9.2 MB
video1_2.mp4 9.9 MB
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video2_1.mp4 23.6 MB
video2_2.mp4 24.4 MB
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video2_4.mp4 14.4 MB
video2_5.mp4 25.4 MB
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video3_1.mp4 17.8 MB
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video3_4.mp4 5.8 MB
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00.Course-Overview/00.Course-Overview.mp4 3.8 MB
00.Course-Overview/00.Course-Overview.mp4.srt 2.1 kB
00.Course-Overview/clips-info.json 253 Bytes
00.Course-Overview/module-info.json 284 Bytes
01.Introducing-Keras/00.Introduction.mp4 2.1 MB
01.Introducing-Keras/00.Introduction.mp4.srt 1.4 kB
01.Introducing-Keras/01.What-Is-Keras.mp4 3.7 MB
01.Introducing-Keras/01.What-Is-Keras.mp4.srt 4.0 kB
01.Introducing-Keras/02.Neural-Networks.mp4 8.5 MB
01.Introducing-Keras/02.Neural-Networks.mp4.srt 5.4 kB
01.Introducing-Keras/03.Skills.mp4 4.6 MB
01.Introducing-Keras/03.Skills.mp4.srt 4.6 kB
01.Introducing-Keras/04.Course-Structure.mp4 2.9 MB
01.Introducing-Keras/04.Course-Structure.mp4.srt 2.8 kB
01.Introducing-Keras/clips-info.json 1.2 kB
01.Introducing-Keras/module-info.json 289 Bytes
02.Creating-Your-First-Neural-Network-with-Keras/00.Introduction-to-Installation.mp4 4.9 MB
02.Creating-Your-First-Neural-Network-with-Keras/00.Introduction-to-Installation.mp4.srt 3.6 kB
02.Creating-Your-First-Neural-Network-with-Keras/01.Installing-TensorFlow.mp4 22.0 MB
02.Creating-Your-First-Neural-Network-with-Keras/01.Installing-TensorFlow.mp4.srt 6.4 kB

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[DesireCourse.Com].txt 828 Bytes
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Tensorflow and Keras For Neural Networks and Deep Learning.zip 5.3 GB
Download more courses.url 123 Bytes
Downloaded from TutsGalaxy.com.txt 73 Bytes
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11. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 226.7 MB
9. R - Building and training the Model/1. Building, Compiling and Training.mp4 137.1 MB
4. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
8. R - Dataset for classification problem/1. Data Normalization and Test-Train Split.mp4 117.2 MB
19. Transfer Learning in R/1. Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
9. R - Building and training the Model/2. Evaluating and Predicting.mp4 104.0 MB
2. Setting Up R Studio and R crash course/7. Creating Barplots in R.mp4 101.4 MB
16. Project Creating CNN model from scratch/3. Project in R - Data Preprocessing.mp4 92.0 MB
10. The NeuralNets Package/1. ANN with NeuralNets Package.mp4 88.5 MB
2. Setting Up R Studio and R crash course/3. Packages in R.mp4 87.0 MB
14. Creating CNN model in R/3. Creating Model Architecture.mp4 75.1 MB
14. Creating CNN model in R/5. Model Performance.mp4 71.4 MB
13. CNN - Basics/5. Channels.mp4 71.1 MB
14. Creating CNN model in R/2. Data Preprocessing.mp4 70.3 MB
19. Transfer Learning in R/2. Project - Transfer Learning - VGG16 (Performance).mp4 67.3 MB
5. Important concepts Common Interview questions/1. Some Important Concepts.mp4 65.2 MB
12. Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 63.6 MB
4. Neural Networks - Stacking cells to create network/2. Gradient Descent.mp4 63.3 MB
2. Setting Up R Studio and R crash course/6. Inputting data part 3 Importing from CSV or Text files.mp4 63.0 MB
17. Project Data Augmentation for avoiding overfitting/1. Project in R - Data Augmentation.mp4 59.1 MB

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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

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【压缩文件】 Artificial Intelligence #5 MLP Networks with Scikit & Keras

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Artificial Intelligence #5 MLP Networks with Scikit & Keras.zip 921.6 MB
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Mosconi F. Zero to Deep Learning with Keras and Tensorflow 2020.pdf 35.2 MB

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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

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【影视】 [GigaCourse.com] Udemy - Neural Networks (ANN) using Keras and TensorFlow in Python

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11. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.mp4 163.5 MB
13. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
4. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
15. Add-on 1 Data Preprocessing/12. Bi-variate analysis and Variable transformation.mp4 105.3 MB
16. Add-on 2 Classic ML models - Linear Regression/3. Assessing accuracy of predicted coefficients.mp4 96.6 MB
12. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.mp4 96.6 MB
3. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4 90.8 MB
10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4 85.7 MB
10. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4 83.0 MB
15. Add-on 1 Data Preprocessing/17. Correlation Analysis.mp4 75.1 MB
15. Add-on 1 Data Preprocessing/8. Outlier Treatment in Python.mp4 73.6 MB
10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4 73.3 MB
16. Add-on 2 Classic ML models - Linear Regression/9. Multiple Linear Regression in Python.mp4 73.1 MB
15. Add-on 1 Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 72.7 MB
2. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 68.3 MB
2. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 67.6 MB
16. Add-on 2 Classic ML models - Linear Regression/5. Simple Linear Regression in Python.mp4 66.5 MB
5. Important concepts Common Interview questions/1. Some Important Concepts.mp4 65.2 MB
15. Add-on 1 Data Preprocessing/6. EDD in Python.mp4 64.8 MB
14. Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 63.6 MB

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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】 [FreeCourseSite.com] Udemy - Zero to Deep Learning™ with Python and Keras

收录时间:2021-03-16 文档个数:136 文档大小:1.6 GB 最近下载:2025-05-15 人气:2156 磁力链接

01-welcome-to-the-course/004-installation-video-guide.mp4 47.4 MB
03-machine-learning/045-exercise-2-solution.mp4 45.3 MB
03-machine-learning/031-linear-regression-code-along.mp4 41.8 MB
03-machine-learning/043-exercise-1-solution.mp4 39.1 MB
04-deep-learning-intro/051-multiclass-classification-code-along.mp4 35.6 MB
05-gradient-descent/070-learning-rate-code-along.mp4 34.8 MB
01-welcome-to-the-course/007-your-first-deep-learning-model.mp4 34.5 MB
02-data/011-plotting-with-matplotlib.mp4 34.4 MB
05-gradient-descent/077-inner-layers-visualization-code-along.mp4 33.8 MB
02-data/009-data-exploration-with-pandas-code-along.mp4 32.4 MB
09-improving-performance/131-movies-reviews-sentiment-analysis-code-along.mp4 28.0 MB
04-deep-learning-intro/057-exercise-2-solution.mp4 26.4 MB
04-deep-learning-intro/055-exercise-1-solution.mp4 26.0 MB
01-welcome-to-the-course/002-real-world-applications-of-deep-learning.mp4 24.7 MB
03-machine-learning/035-classification-code-along.mp4 24.0 MB
08-recurrent-neural-networks/116-rolling-windows-code-along.mp4 22.1 MB
04-deep-learning-intro/049-neural-networks-code-along.mp4 22.1 MB
04-deep-learning-intro/059-exercise-3-solution.mp4 21.6 MB
06-convolutional-neural-networks/089-mnist-classification-code-along.mp4 20.6 MB
05-gradient-descent/068-numpy-arrays-code-along.mp4 20.4 MB

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