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【影视】 PacktPub - Master Deep Learning with TensorFlow 2.0 in Python [2019] [Video]

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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

猜你喜欢： Python Video Deep 2019 PacktPub Master Learning TensorFlow 2.0

【影视】 [ FreeCourseWeb.com ] Deep Learning with TensorFlow - Insights and Innovations

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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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【压缩文件】 python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2

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python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_jp2.zip 261.7 MB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_hocr.html 31.1 MB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_chocr.html.gz 17.5 MB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_djvu.xml 16.6 MB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2.pdf 9.9 MB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2.epub 5.5 MB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_djvu.txt 1.3 MB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_hocr_searchtext.txt.gz 397.5 kB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_scandata.xml 269.3 kB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_page_numbers.json 131.3 kB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_meta.sqlite 20.5 kB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_hocr_pageindex.json.gz 9.3 kB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_meta.xml 2.0 kB

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【影视】 Introduction to TensorFlow

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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

猜你喜欢： Introduction TensorFlow

【影视】 [FreeCourseSite.com] Udemy - Deep Learning Masterclass with TensorFlow 2 Over 20 Projects

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[FreeCourseSite.com] Udemy - Deep Learning Masterclass with TensorFlow 2 Over 20 Projects 49.3 GB

猜你喜欢： 20 FreeCourseSite Masterclass Over Deep Udemy Learning TensorFlow com Projects

【影视】 Deep Learning Image Classification with Tensorflow in 2023

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[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/18 - Deploying the Image classification model/84 - Building API with Fastapi.mp4 707.7 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/8 - Data Augmentation/44 - Albumentations with TensorFlow 2 and PyTorch for Data augmentation.mp4 647.5 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/11 - MLOps with Weights and Biases/52 - Experiment Tracking.mp4 492.5 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/8 - Data Augmentation/41 - Data augmentation with TensorFlow using tfimage and Keras Layers.mp4 444.6 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/17 - Transformers in Vision/72 - Understanding VITs.mp4 442.5 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/2 - Tensors and variables/4 - Initialization and Casting.mp4 426.3 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/17 - Transformers in Vision/73 - Building VITs from scratch.mp4 418.0 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/12 - Human Emotions Detection/57 - Modeling and Training.mp4 390.0 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/2 - Tensors and variables/7 - Linear Algebra Operations.mp4 389.5 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/13 - Modern Convolutional Neural Networks/62 - resnet.mp4 368.9 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/4 - Building convnets with tensorflow/25 - How and Why Convolutional Neural Networks Work.mp4 365.6 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/8 - Data Augmentation/43 - Cutmix Data augmentation with TensorFlow 2 and intergration in tfdata.mp4 360.9 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/11 - MLOps with Weights and Biases/54 - Dataset Versioning with Weights and Biases and TensorFlow 2.mp4 345.5 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/2 - Tensors and variables/8 - Common Methods.mp4 313.6 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/12 - Human Emotions Detection/59 - Tensorflow records.mp4 307.9 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/10 - Tensorboard integration with TensorFlow 2/48 - Log data.mp4 301.2 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/3 - PREREQUISCITE Building neural networks with Tensorflow/14 - Data Preparation.mp4 289.8 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/18 - Deploying the Image classification model/79 - Understanding quantization.mp4 281.2 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/9 - Advanced Tensorflow/47 - Custom Training Loops in TensorFlow 2.mp4 246.3 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/15 - Understanding the blackbox/69 - gradcam method.mp4 237.8 MB

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【影视】 Deep Learning - Convolutional Neural Networks with TensorFlow

收录时间:2024-07-18 文档个数:50 文档大小:923.2 MB 最近下载:2025-02-01 人气:1047 磁力链接

Chapter 2 Convolutional Neural Networks (CNNs)/005. CNN Architecture.mp4 65.9 MB
Chapter 2 Convolutional Neural Networks (CNNs)/006. CNN Code Preparation.mp4 62.6 MB
Chapter 2 Convolutional Neural Networks (CNNs)/011. Improving CIFAR-10 Results.mp4 58.9 MB
Chapter 2 Convolutional Neural Networks (CNNs)/004. Convolution on Color Images.mp4 58.6 MB
Chapter 2 Convolutional Neural Networks (CNNs)/001. What Is Convolution (Part 1).mp4 57.9 MB
Chapter 4 Transfer Learning for Computer Vision/005. Transfer Learning Code (Part 1).mp4 52.2 MB
Chapter 3 Natural Language Processing (NLP)/002. Code Preparation (NLP).mp4 49.2 MB
Chapter 3 Natural Language Processing (NLP)/001. Embeddings.mp4 45.4 MB
Chapter 4 Transfer Learning for Computer Vision/001. Transfer Learning Theory.mp4 44.6 MB
Chapter 4 Transfer Learning for Computer Vision/006. Transfer Learning Code (Part 2).mp4 39.0 MB
Chapter 2 Convolutional Neural Networks (CNNs)/007. CNN for Fashion MNIST.mp4 36.2 MB
Chapter 3 Natural Language Processing (NLP)/005. Text Classification with CNNs.mp4 33.6 MB
Chapter 4 Transfer Learning for Computer Vision/003. Large Datasets and Data Generators.mp4 33.6 MB
Chapter 3 Natural Language Processing (NLP)/004. CNNs for Text.mp4 31.6 MB
Chapter 2 Convolutional Neural Networks (CNNs)/009. Data Augmentation.mp4 31.2 MB
Chapter 4 Transfer Learning for Computer Vision/002. Some Pre-Trained Models (VGG, ResNet, Inception, MobileNet).mp4 27.5 MB
Chapter 2 Convolutional Neural Networks (CNNs)/008. CNN for CIFAR-10.mp4 26.1 MB
Chapter 3 Natural Language Processing (NLP)/003. Text Preprocessing.mp4 25.0 MB
Chapter 1 Welcome/002. Outline.mp4 24.6 MB
Chapter 2 Convolutional Neural Networks (CNNs)/003. What Is Convolution (Part 3).mp4 23.5 MB

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【影视】 Deep Learning - Recurrent Neural Networks with TensorFlow

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Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/001. Sequence Data.mp4 73.6 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/010. GRU and LSTM (Part 1).mp4 62.3 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/008. RNN for Time Series Prediction.mp4 58.0 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/003. Autoregressive Linear Model for Time Series Prediction.mp4 56.4 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/018. Stock Return Predictions Using LSTMs (Part 3).mp4 56.3 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/016. Stock Return Predictions Using LSTMs (Part 1).mp4 53.6 MB
Chapter 3 Natural Language Processing (NLP)/002. Code Preparation (NLP).mp4 50.2 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/012. A More Challenging Sequence.mp4 48.3 MB
Chapter 3 Natural Language Processing (NLP)/001. Embeddings.mp4 48.1 MB
Chapter 3 Natural Language Processing (NLP)/004. Text Classification with LSTMs.mp4 42.7 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/009. Paying Attention to Shapes.mp4 41.5 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/011. GRU and LSTM (Part 2).mp4 41.1 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/002. Forecasting.mp4 38.0 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/006. Recurrent Neural Networks (Elman Unit Part 2).mp4 33.2 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/005. Recurrent Neural Networks (Elman Unit Part 1).mp4 33.0 MB
Chapter 1 Welcome/002. Outline.mp4 30.5 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/017. Stock Return Predictions Using LSTMs (Part 2).mp4 27.9 MB
Chapter 3 Natural Language Processing (NLP)/003. Text Preprocessing.mp4 25.2 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/014. RNN for Image Classification (Theory).mp4 24.3 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/019. Other Ways to Forecast.mp4 21.3 MB

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【影视】 Deep Learning - Artificial Neural Networks with Tensorflow

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Chapter 3 Feedforward Artificial Neural Networks/004. Activation Functions.mp4 64.7 MB
Chapter 3 Feedforward Artificial Neural Networks/009. ANN for Regression.mp4 58.7 MB
Chapter 2 Machine Learning and Neurons/001. What Is Machine Learning.mp4 56.1 MB
Chapter 3 Feedforward Artificial Neural Networks/006. How to Represent Images.mp4 52.0 MB
Chapter 2 Machine Learning and Neurons/002. Code Preparation (Classification Theory).mp4 50.7 MB
Chapter 2 Machine Learning and Neurons/005. Regression Notebook.mp4 50.0 MB
Chapter 2 Machine Learning and Neurons/003. Classification Notebook.mp4 46.9 MB
Chapter 3 Feedforward Artificial Neural Networks/007. Code Preparation (Artificial Neural Networks).mp4 44.2 MB
Chapter 5 In-Depth Gradient Descent/005. Adam Optimization (Part 1).mp4 44.1 MB
Chapter 5 In-Depth Gradient Descent/006. Adam Optimization (Part 2).mp4 42.4 MB
Chapter 3 Feedforward Artificial Neural Networks/008. ANN for Image Classification.mp4 42.1 MB
Chapter 3 Feedforward Artificial Neural Networks/003. The Geometrical Picture.mp4 41.3 MB
Chapter 2 Machine Learning and Neurons/007. How Does a Model Learn .mp4 40.4 MB
Chapter 2 Machine Learning and Neurons/006. The Neuron.mp4 35.7 MB
Chapter 3 Feedforward Artificial Neural Networks/005. Multiclass Classification.mp4 35.6 MB
Chapter 3 Feedforward Artificial Neural Networks/002. Forward Propagation.mp4 35.4 MB
Chapter 5 In-Depth Gradient Descent/004. Variable and Adaptive Learning Rates.mp4 34.2 MB
Chapter 4 In-Depth Loss Functions/001. Mean Squared Error.mp4 31.8 MB
Chapter 2 Machine Learning and Neurons/008. Making Predictions.mp4 31.2 MB
Chapter 5 In-Depth Gradient Descent/003. Momentum.mp4 30.2 MB

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【影视】 Detecting Data Anomalies using Deep Learning Techniques with TensorFlow (Andrei Pruteanu, 2021)

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5. Detection Algorithms/3. Demo - Deep-Learning Approaches Part 1.mp4 29.7 MB
5. Detection Algorithms/4. Demo - Deep-Learning Approaches Part 2.mp4 26.4 MB
6. Mitigation Techniques/1. Techniques and Metrics.mp4 17.3 MB
5. Detection Algorithms/1. Demo - Statistical Approaches Part 1.mp4 16.8 MB
4. Definition and Anomaly Types/1. Taxonomy.mp4 14.8 MB
4. Definition and Anomaly Types/2. Real Data.mp4 13.5 MB
5. Detection Algorithms/2. Demo - Statistical Approaches Part 2.mp4 12.8 MB
3. Exploratory Data Analysis/3. Demo - EDA Part 2.mp4 11.6 MB
2. Introduction/2. Summary.mp4 8.9 MB
3. Exploratory Data Analysis/2. Demo - EDA Part 1.mp4 8.6 MB
2. Introduction/3. Statistical Methods.mp4 7.3 MB
3. Exploratory Data Analysis/1. Finding a Dataset.mp4 4.4 MB
1. Course Overview/1. Course Overview.mp4 4.0 MB
2. Introduction/4. Prerequisites.mp4 3.9 MB
2. Introduction/1. Introduction.mp4 3.4 MB
exercise.7z 1.9 MB
5. Detection Algorithms/3. Demo - Deep-Learning Approaches Part 1.vtt 14.0 kB
5. Detection Algorithms/4. Demo - Deep-Learning Approaches Part 2.vtt 13.8 kB
6. Mitigation Techniques/1. Techniques and Metrics.vtt 11.2 kB
5. Detection Algorithms/1. Demo - Statistical Approaches Part 1.vtt 8.9 kB

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【压缩文件】 [FreeCoursesOnline.Me] Coursera - TensorFlow Advanced Techniques Specialization

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Generative-deep-learning-with-tensorflow.zip 431.5 MB
Custom-distributed-training-with-tensorflow.zip 399.8 MB
Custom-models-layers-loss-functions-with-tensorflow.zip 384.2 MB
Advanced-computer-vision-with-tensorflow.zip 355.2 MB
0. Websites you may like/Free Premium Accounts at OfficialMrB.com.txt 650 Bytes
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【压缩文件】 [FreeCoursesOnline.Me] Coursera - TensorFlow Data and Deployment Specialization

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Browser-based-models-tensorflow.zip 464.4 MB
Device-based-models-tensorflow.zip 396.6 MB
Data-pipelines-tensorflow.zip 349.5 MB
Advanced-deployment-scenarios-tensorflow.zip 247.8 MB
0. Websites you may like/1. OneHack.us Premium Cracked Accounts-Tutorials-Guides-Articles Community Based Forum.url 377 Bytes
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猜你喜欢： FreeCoursesOnline Me Specialization Coursera Deployment TensorFlow Data

【其他】 [DesireCourse.Net] 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.!qB 203.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/5. LSTM Practical Intuition.mp4.!qB 196.5 MB
1. Introduction/1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..mp4.!qB 153.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.mp4.!qB 143.9 MB
17. Annex 3 - Recurrent Neural Networks Theory/4. LSTMs.mp4.!qB 143.1 MB
7. Deep Reinforcement Learning Theory/9. Action Selection Policies.mp4.!qB 141.3 MB
17. Annex 3 - Recurrent Neural Networks Theory/2. What are Recurrent Neural Networks.mp4.!qB 126.8 MB
16. Annex 2 - Convolutional Neural Networks Theory/9. Softmax & Cross-Entropy.mp4.!qB 123.6 MB
2. TensorFlow 2.0 Basics/1. From TensorFlow 1.x to TensorFlow 2.0.mp4.!qB 120.4 MB
7. Deep Reinforcement Learning Theory/8. Experience Replay.mp4.!qB 117.9 MB
15. Annex 1 - Artificial Neural Networks Theory/5. How do Neural Networks Learn.mp4.!qB 117.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/3. Vanishing Gradient.mp4.!qB 116.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/2. What are Convolutional Neural Networks.mp4.!qB 113.1 MB
7. Deep Reinforcement Learning Theory/6. Deep Q-Learning Intuition - Step 1.mp4.!qB 104.3 MB
15. Annex 1 - Artificial Neural Networks Theory/2. The Neuron.mp4.!qB 103.5 MB
16. Annex 2 - Convolutional Neural Networks Theory/3. Step 1 - Convolution.mp4.!qB 102.6 MB
7. Deep Reinforcement Learning Theory/5. Temporal Difference.mp4.!qB 101.8 MB
7. Deep Reinforcement Learning Theory/2. The Bellman Equation.mp4.!qB 99.7 MB
7. Deep Reinforcement Learning Theory/3. Markov Decision Process (MDP).mp4.!qB 98.9 MB
4. Convolutional Neural Networks/2. Building the Convolutional Neural Network.mp4.!qB 92.5 MB

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

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~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
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