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【影视】 [FreeCoursesOnline.Me] PacktPub -Learn Artificial Intelligence with TensorFlow [Video]

收录时间:2020-02-29 文档个数:33 文档大小:2.0 GB 最近下载:2025-05-01 人气:8953 磁力链接

3.Natural Language Processing and Recurrent Neural Networks/10.Embeddings.mp4 374.1 MB
6.Miscellaneous Topics and Course Summary/25.TensorFlow Eager.mp4 327.1 MB
1.TensorFlow Setup and Fundamental Concepts/03.TensorFlow Basics Part 1 - Tensors and Variables.mp4 118.8 MB
6.Miscellaneous Topics and Course Summary/23.TPUs.mp4 109.9 MB
2.Computer Vision/06.Convolutional Neural Networks.mp4 106.2 MB
1.TensorFlow Setup and Fundamental Concepts/04.TensorFlow Basics Part 2 - Graphs and Sessions.mp4 105.6 MB
1.TensorFlow Setup and Fundamental Concepts/05.TensorFlow Basics Part 3 - Training, Saving, and Restoring.mp4 103.9 MB
5.TensorFlow in Production/19.Requirements for ML at Scale.mp4 85.3 MB
5.TensorFlow in Production/20.TensorFlow with C++.mp4 78.2 MB
6.Miscellaneous Topics and Course Summary/26.Course Summary and Next Steps.mp4 71.3 MB
4.Tips and Tricks/15.TensorBoard.mp4 64.3 MB
1.TensorFlow Setup and Fundamental Concepts/02.Machine Learning Basics.mp4 63.9 MB
1.TensorFlow Setup and Fundamental Concepts/01.The Course Overview.mp4 53.0 MB
4.Tips and Tricks/17.Training Tips.mp4 40.8 MB
5.TensorFlow in Production/21.TensorFlow Serving.mp4 40.8 MB
4.Tips and Tricks/16.Working with Estimators.mp4 40.8 MB
2.Computer Vision/09.Training a CNN on CIFAR-10 – Part 2.mp4 37.9 MB
4.Tips and Tricks/18.Debugging Strategies.mp4 33.0 MB
2.Computer Vision/08.Training a CNN on CIFAR-10 – Part 1.mp4 25.3 MB
3.Natural Language Processing and Recurrent Neural Networks/13.Models for Text Classification – Part 1.mp4 24.4 MB

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【影视】 [ DevCourseWeb.com ] Udemy - Face Recognition Using Tensorflow And Keras From Scratch

收录时间:2023-12-28 文档个数:10 文档大小:590.5 MB 最近下载:2025-05-01 人气:6871 磁力链接

~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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【影视】 [ FreeCourseWeb.com ] Tensorflow with Python - Udemy

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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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【影视】 [FreeCoursesOnline.Me] FrontendMasters - A Practical Guide to Deep Learning with TensorFlow 2.0 and Keras

收录时间:2020-03-03 文档个数:33 文档大小:4.4 GB 最近下载:2025-05-01 人气:11873 磁力链接

A Practical Guide to Deep Learning with TensorFlow 2.0 and K (28).mp4 196.5 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (27).mp4 188.6 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (2).mp4 188.1 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (20).mp4 185.1 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (25).mp4 179.8 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (3).mp4 179.5 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (22).mp4 177.9 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (26).mp4 177.8 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (21).mp4 176.5 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (7).mp4 176.3 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (16).mp4 173.7 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (18).mp4 173.7 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (5).mp4 171.0 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (1).mp4 170.6 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (10).mp4 167.2 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (11).mp4 165.6 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (9).mp4 164.8 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (6).mp4 161.7 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (15).mp4 147.8 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (17).mp4 140.9 MB

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【影视】 Introduction to TensorFlow

收录时间:2024-08-27 文档个数:80 文档大小:337.3 MB 最近下载:2025-05-01 人气:688 磁力链接

05. Training neural networks with Tensorflow 2 and Keras Functional API/01. Neural Networks with Keras Functional API.mp4 35.1 MB
04. Training neural networks with Tensorflow 2 and the Keras Sequential API/02. Activation functions.mp4 25.6 MB
02. Introduction to TensorFlow/01. Introduction to Tensorflow.mp4 23.8 MB
04. Training neural networks with Tensorflow 2 and the Keras Sequential API/04. Neural Networks with Keras Sequential API.mp4 23.6 MB
03. Design and Build a TensorFlow Input Data Pipeline/03. Getting the data ready for model training.mp4 21.9 MB
02. Introduction to TensorFlow/03. Components of TensorFlow- Tensors and Variables.mp4 20.4 MB
04. Training neural networks with Tensorflow 2 and the Keras Sequential API/03. Activation functions- Pitfalls to avoid in Backpropagation.mp4 18.9 MB
05. Training neural networks with Tensorflow 2 and Keras Functional API/04. Regularization- Dropout.mp4 18.3 MB
06. Summary/01. Course Summary.mp4 17.0 MB
05. Training neural networks with Tensorflow 2 and Keras Functional API/02. Regularization- The Basics.mp4 16.6 MB
03. Design and Build a TensorFlow Input Data Pipeline/12. Training on Large Datasets with tf.data API.mp4 14.1 MB
03. Design and Build a TensorFlow Input Data Pipeline/02. Working in-memory and with files.mp4 13.2 MB
02. Introduction to TensorFlow/02. TensorFlow API Hierarchy.mp4 12.4 MB
02. Introduction to TensorFlow/05. Getting Started With GCP And Qwiklabs.mp4 11.3 MB
05. Training neural networks with Tensorflow 2 and Keras Functional API/03. Regularization- L1, L2, and Early Stopping.mp4 10.2 MB
05. Training neural networks with Tensorflow 2 and Keras Functional API/05. Serving models in the Cloud.mp4 9.6 MB
03. Design and Build a TensorFlow Input Data Pipeline/01. Overview.mp4 7.5 MB
01. Introduction to course/01. Intro to Course.mp4 6.2 MB
05. Training neural networks with Tensorflow 2 and Keras Functional API/06. Lab intro Keras Functional API.mp4 4.1 MB
03. Design and Build a TensorFlow Input Data Pipeline/15. Optional Lab Intro Feature Analysis Using TensorFlow Data Validation and Facets.mp4 3.0 MB

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【影视】 [ DevCourseWeb.com ] Udemy - Deep Learning - Neural Networks With Tensorflow

收录时间:2024-02-05 文档个数:51 文档大小:3.3 GB 最近下载:2025-05-01 人气:4773 磁力链接

~Get Your Files Here !/4 - Deep Learning Automatic Image Captioning For Social Media With Tensorflow/36 - Preprocessing the Text Data.mp4 181.8 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/2 - Scenario of Perceptron.mp4 165.6 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/5 - Initializing the Model.mp4 148.7 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/13 - Advance Concept of Transfer Learning Part 1.mp4 147.1 MB
~Get Your Files Here !/3 - Project on Tensorflow Implementing Linear Model with Python/24 - Installation of Tensorflow.mp4 139.0 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/11 - Listing Directories.mp4 115.5 MB
~Get Your Files Here !/4 - Deep Learning Automatic Image Captioning For Social Media With Tensorflow/40 - Loading Features for Train and Test Dataset.mp4 114.1 MB
~Get Your Files Here !/2 - Project On Tensorflow Face Mask Detection Application/18 - Load Data Pretrained Mode.mp4 100.7 MB
~Get Your Files Here !/4 - Deep Learning Automatic Image Captioning For Social Media With Tensorflow/49 - Deploy Streamlit on AWS EC2 Instance.mp4 100.0 MB
~Get Your Files Here !/3 - Project on Tensorflow Implementing Linear Model with Python/25 - Basic Data Types for Tensorflow.mp4 99.2 MB
~Get Your Files Here !/3 - Project on Tensorflow Implementing Linear Model with Python/28 - Optimization of Variable.mp4 96.3 MB
~Get Your Files Here !/4 - Deep Learning Automatic Image Captioning For Social Media With Tensorflow/37 - PreProcess and Load Captions Data.mp4 88.4 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/9 - Classifying the Photos of Dogs and Cats.mp4 88.3 MB
~Get Your Files Here !/2 - Project On Tensorflow Face Mask Detection Application/17 - Package Installation.mp4 85.3 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/14 - Advance Concept of Transfer Learning Part 2.mp4 82.8 MB
~Get Your Files Here !/4 - Deep Learning Automatic Image Captioning For Social Media With Tensorflow/45 - Test the Model.mp4 81.4 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/1 - Overview of DLUT.mp4 76.7 MB
~Get Your Files Here !/4 - Deep Learning Automatic Image Captioning For Social Media With Tensorflow/34 - Accessing the Caption Dataset for Training.mp4 76.4 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/3 - Creating Neural Network Using TensorFlow.mp4 76.0 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/12 - Import Image Data Generator.mp4 75.6 MB

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

收录时间:2022-02-11 文档个数:279 文档大小:2.8 GB 最近下载:2025-05-01 人气:4407 磁力链接

01 - Introduction/001 Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit.mp4 153.4 MB
02 - TensorFlow 2.0 Basics/001 From TensorFlow 1.x to TensorFlow 2.0.mp4 120.4 MB
17 - Annex 3 - Recurrent Neural Networks Theory/005 LSTM Practical Intuition.mp4 112.7 MB
17 - Annex 3 - Recurrent Neural Networks Theory/004 LSTMs.mp4 93.2 MB
16 - Annex 2 - Convolutional Neural Networks Theory/005 Step 2 - Max Pooling.mp4 91.7 MB
17 - Annex 3 - Recurrent Neural Networks Theory/003 Vanishing Gradient.mp4 90.4 MB
16 - Annex 2 - Convolutional Neural Networks Theory/002 What are Convolutional Neural Networks.mp4 74.5 MB
16 - Annex 2 - Convolutional Neural Networks Theory/003 Step 1 - Convolution.mp4 68.8 MB
10 - Dataset Preprocessing with TensorFlow Transform (TFT)/005 Dataset preprocessing pipeline.mp4 62.7 MB
16 - Annex 2 - Convolutional Neural Networks Theory/007 Step 4 - Full Connection.mp4 61.4 MB
17 - Annex 3 - Recurrent Neural Networks Theory/002 What are Recurrent Neural Networks.mp4 60.3 MB
04 - Convolutional Neural Networks/002 Building the Convolutional Neural Network.mp4 59.3 MB
07 - Deep Reinforcement Learning Theory/009 Action Selection Policies.mp4 57.0 MB
16 - Annex 2 - Convolutional Neural Networks Theory/009 Softmax & Cross-Entropy.mp4 53.9 MB
07 - Deep Reinforcement Learning Theory/002 The Bellman Equation.mp4 50.6 MB
06 - Transfer Learning and Fine Tuning/001 What is Transfer Learning.mp4 48.7 MB
06 - Transfer Learning and Fine Tuning/002 Project Setup.mp4 46.6 MB
15 - Annex 1 - Artificial Neural Networks Theory/002 The Neuron.mp4 45.8 MB
15 - Annex 1 - Artificial Neural Networks Theory/005 How do Neural Networks Learn.mp4 45.4 MB
07 - Deep Reinforcement Learning Theory/003 Markov Decision Process (MDP).mp4 44.4 MB

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【影视】 Deep Learning Masterclass with TensorFlow 2 Over 15 Projects

收录时间:2022-09-30 文档个数:450 文档大小:19.5 GB 最近下载:2025-05-01 人气:24970 磁力链接

[TutsNode.net] - Deep Learning Masterclass with TensorFlow 2 Over 15 Projects/8 - Object Detection with YOLO/97 - YOLO v3.mp4 643.9 MB
[TutsNode.net] - Deep Learning Masterclass with TensorFlow 2 Over 15 Projects/8 - Object Detection with YOLO/91 - Modeling YOLO v1.mp4 502.5 MB
[TutsNode.net] - Deep Learning Masterclass with TensorFlow 2 Over 15 Projects/12 - Question Answering with TensorFlow 2/126 - LSH Attention.mp4 502.0 MB
[TutsNode.net] - Deep Learning Masterclass with TensorFlow 2 Over 15 Projects/5 - Introduction to Deep Computer Vision with TensorFlow 2/66 - Transfer Learning and FineTuning.mp4 461.3 MB
[TutsNode.net] - Deep Learning Masterclass with TensorFlow 2 Over 15 Projects/11 - Neural Machine Translation with TensorFlow 2/116 - Attention Mechanism Bahdanau Attention.mp4 441.9 MB
[TutsNode.net] - Deep Learning Masterclass with TensorFlow 2 Over 15 Projects/11 - Neural Machine Translation with TensorFlow 2/117 - Transformers Theory.mp4 435.7 MB
[TutsNode.net] - Deep Learning Masterclass with TensorFlow 2 Over 15 Projects/8 - Object Detection with YOLO/90 - Pascal VOC Dataset.mp4 422.1 MB
[TutsNode.net] - Deep Learning Masterclass with TensorFlow 2 Over 15 Projects/5 - Introduction to Deep Computer Vision with TensorFlow 2/65 - EfficientNet.mp4 412.8 MB
[TutsNode.net] - Deep Learning Masterclass with TensorFlow 2 Over 15 Projects/3 - Introduction to Machine Learning/38 - Neural Networks Training and Optimization.mp4 383.9 MB
[TutsNode.net] - Deep Learning Masterclass with TensorFlow 2 Over 15 Projects/5 - Introduction to Deep Computer Vision with TensorFlow 2/57 - Introduction to Convolutional Neural Networks.mp4 377.1 MB
[TutsNode.net] - Deep Learning Masterclass with TensorFlow 2 Over 15 Projects/11 - Neural Machine Translation with TensorFlow 2/118 - Building Transformers with TensorFlow 2.mp4 331.2 MB
[TutsNode.net] - Deep Learning Masterclass with TensorFlow 2 Over 15 Projects/10 - People Counting/106 - Dataset Preparation.mp4 317.9 MB
[TutsNode.net] - Deep Learning Masterclass with TensorFlow 2 Over 15 Projects/12 - Question Answering with TensorFlow 2/128 - BERT Practice.mp4 302.6 MB
[TutsNode.net] - Deep Learning Masterclass with TensorFlow 2 Over 15 Projects/6 - Introduction to Deep NLP with TensorFlow 2/73 - Imdb Dataset Code.mp4 301.5 MB
[TutsNode.net] - Deep Learning Masterclass with TensorFlow 2 Over 15 Projects/15 - Image Generative Modeling/146 - Wasserstein GAN.mp4 291.0 MB
[TutsNode.net] - Deep Learning Masterclass with TensorFlow 2 Over 15 Projects/8 - Object Detection with YOLO/95 - Performance Measurement Mean Average Precision mAP.mp4 279.9 MB
[TutsNode.net] - Deep Learning Masterclass with TensorFlow 2 Over 15 Projects/6 - Introduction to Deep NLP with TensorFlow 2/82 - Word2Vec Practice.mp4 259.2 MB
[TutsNode.net] - Deep Learning Masterclass with TensorFlow 2 Over 15 Projects/10 - People Counting/109 - Data Augmentation.mp4 257.4 MB
[TutsNode.net] - Deep Learning Masterclass with TensorFlow 2 Over 15 Projects/3 - Introduction to Machine Learning/24 - Linear Regression.mp4 252.7 MB
[TutsNode.net] - Deep Learning Masterclass with TensorFlow 2 Over 15 Projects/14 - Image Captioning/140 - Vision Transformers.mp4 249.9 MB

猜你喜欢： 15 Masterclass Over Deep Learning TensorFlow Projects

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

收录时间:2020-10-27 文档个数:282 文档大小:5.5 GB 最近下载:2025-05-01 人气:1536 磁力链接

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】 365 Data Science - Deep Learning with TensorFlow 2.0 [CoursesGhar]

收录时间:2021-08-16 文档个数:89 文档大小:2.6 GB 最近下载:2025-05-01 人气:1569 磁力链接

13. Business case/4. Preprocessing the data.mp4 81.2 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
2. Neural networks Intro/11. One-parameter gradient descent.mp4 59.1 MB
6. Deep nets overview/7. Backpropagation.mp4 55.3 MB
13. Business case/1. Exploring the dataset and identifying predictors.mp4 54.6 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/3. Balancing the dataset.mp4 46.8 MB
13. Business case/7. Setting an early stopping mechanism.mp4 44.7 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
14. Conclusion/5. Non-NN approaches.mp4 43.9 MB
5. Introduction to TensorFlow 2/1. TensorFlow outline.mp4 43.2 MB
12. Deeper example/8. Learning.mp4 42.9 MB
2. Neural networks Intro/3. Types of machine learning.mp4 42.8 MB
11. Preprocessing/3. Standardization.mp4 42.3 MB
6. Deep nets overview/4. Why do we need non-linearities.mp4 39.8 MB

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【影视】 [ CoursePig.com ] Udemy - Complete Python + Tensorflow Course 2021

收录时间:2021-09-26 文档个数:36 文档大小:1.4 GB 最近下载:2025-05-01 人气:4739 磁力链接

~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
~Get Your Files Here !/1. Deep Learning Basics.srt 44.1 kB
~Get Your Files Here !/2. Basic Maths for Deep Learning.srt 30.7 kB
~Get Your Files Here !/3. Python Introduction.srt 23.3 kB

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【影视】 desire-course.-net-udemy-tensorflow-2.0-deep-learning-and-artificial-intelligence_202008

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18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 203.4 MB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 174.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 150.1 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 130.5 MB
20. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 128.6 MB
20. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 122.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 108.2 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 102.5 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 96.7 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 96.5 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 95.4 MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4 93.4 MB
20. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4 92.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 91.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 91.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 90.7 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 90.6 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 90.5 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 88.0 MB

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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
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16. Project Creating CNN model from scratch/3. Project in R - Data Preprocessing.mp4 92.0 MB
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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
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4. Image Processing & Model Training/7. Training a Model.mp4 114.7 MB
5. Convolution & Pooling/3. Diagramming Convolutions & Pooling.mp4 112.7 MB
5. Convolution & Pooling/6. Neural Network Attention.mp4 112.4 MB
6. Text Analytics/2. Natural Language Processing.mp4 97.5 MB
3. Linear Regression/8. Learning Rate & Gradients.mp4 91.5 MB
6. Text Analytics/5. Reinforcement Learning.mp4 85.5 MB
6. Text Analytics/4. Long Short Term Memory.mp4 84.9 MB
4. Image Processing & Model Training/8. Comparing Different Models.mp4 80.8 MB
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5. Convolution & Pooling/4. Visualizing Convolutional Operations.mp4 78.8 MB
5. Convolution & Pooling/5. Predicting, Saving & Loading Models.mp4 71.3 MB
4. Image Processing & Model Training/6. Defining the Solver & Loss Function.mp4 70.9 MB
6. Text Analytics/3. Sentiment Analysis.mp4 69.4 MB
3. Linear Regression/9. Learning Rate vs Steps.mp4 67.8 MB
4. Image Processing & Model Training/9. Principal Component Analysis.mp4 64.6 MB
2. Machine Learning, Neural Networks & Deep Learning/1. Machine Learning Demo.mp4 61.2 MB
4. Image Processing & Model Training/1. Image Processing with Keras.mp4 60.0 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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~Get Your Files Here !/3. HOW TO CREATE DATASET FOR OBJECT DETECTION.mp4 98.7 MB
~Get Your Files Here !/9. EXECUTE THE PROJECT IN PYCHARM IDE.mp4 71.5 MB
~Get Your Files Here !/8. INSTALL THE PYCHARM IDE AND CODE EXPLAINATION.mp4 65.2 MB
~Get Your Files Here !/5. VALIDATE AND TESTING THE MODEL.mp4 59.3 MB
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~Get Your Files Here !/4. TRAIN THE DATASET INTO TENSORFLOW MODEL.mp4 36.5 MB
~Get Your Files Here !/2. INTRO TO PROJECT FIRST CLASS.mp4 32.3 MB
~Get Your Files Here !/7. EXTRACT THE MODEL AND FILES.mp4 18.5 MB
~Get Your Files Here !/10. CONCLUSION FOR THE PROJECT.mp4 13.6 MB
~Get Your Files Here !/1. INTRODUCTION TO COURSE PROJECT.mp4 13.6 MB
~Get Your Files Here !/Bonus Resources.txt 386 Bytes
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16. Anexo III - Redes Neurais Recorrentes - teoria/4. Intuição prática.mp4 166.4 MB
16. Anexo III - Redes Neurais Recorrentes - teoria/3. Long short term memory - LSTM.mp4 104.1 MB
16. Anexo III - Redes Neurais Recorrentes - teoria/1. O que são Redes Neurais Recorrentes.mp4 103.1 MB
17. Anexo IV - Aprendizagem por Reforço Profunda - teoria/2. A Equação de Bellman.mp4 95.1 MB
14. Anexo I - Redes Neurais Artificiais - teoria/9. Funções de ativação II.mp4 81.5 MB
15. Anexo II - Redes Neurais Convolucionais - teoria/2. Introdução a redes neurais convolucionais II.mp4 80.5 MB
15. Anexo II - Redes Neurais Convolucionais - teoria/1. Introdução a redes neurais convolucionais I.mp4 75.9 MB
7. Aprendizagem por Reforço Profunda para Negociação no Mercado de Ações/12. Treinamento II.mp4 75.6 MB
17. Anexo IV - Aprendizagem por Reforço Profunda - teoria/11. Replay de Experiência.mp4 75.2 MB
17. Anexo IV - Aprendizagem por Reforço Profunda - teoria/12. Políticas de Seleções de Ações.mp4 74.6 MB
2. Básico do TensorFlow/1. Do TensorFlow 1.x para o TensorFlow 2.0 - Constantes, variáveis e tensores.mp4 72.9 MB
1. Introdução/1. Bem-vindo(a) ao curso!.mp4 72.3 MB
16. Anexo III - Redes Neurais Recorrentes - teoria/2. Problema do gradiente desaparecendo (vanish gradient problem).mp4 71.0 MB
10. API com Flask e TensorFlow 2.0/1. Configuração do Projeto.mp4 70.3 MB
17. Anexo IV - Aprendizagem por Reforço Profunda - teoria/4. Markov Decision Process - MDP.mp4 70.3 MB
5. Redes Neurais Recorrentes/1. Configuração do Projeto e Pré-processamento.mp4 66.1 MB
15. Anexo II - Redes Neurais Convolucionais - teoria/6. Etapa 3 - flattening.mp4 65.8 MB
15. Anexo II - Redes Neurais Convolucionais - teoria/7. Etapa 4 - rede neural densa.mp4 65.3 MB
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