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[Tutorialsplanet.NET] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API
magnet:?xt=urn:btih:3ddcf181ae8c891e45764dac1654e387e1c67a4e&dn=[Tutorialsplanet.NET] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API
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3ddcf181ae8c891e45764dac1654e387e1c67a4e
infohash:
36
文件数量
1.78 GB
文件大小
2021-9-24 18:05
创建日期
2024-6-26 11:41
最后访问
相关分词
Tutorialsplanet
NET
Udemy
-
A
Complete
Guide
on
TensorFlow
2
0
using
Keras
API
10. Dataset Preprocessing with TensorFlow Transform (TFT)/1. Project Setup.mp4 10.06 MB
11. Fashion API with Flask and TensorFlow 2.0/1. Project Setup.mp4 36.74 MB
11. Fashion API with Flask and TensorFlow 2.0/3. Loading a pre-trained model.mp4 20.48 MB
11. Fashion API with Flask and TensorFlow 2.0/5. Creating classify function.mp4 53.14 MB
12. Image Classification API with TensorFlow Serving/3. Project setup.mp4 25.52 MB
13. TensorFlow Lite Prepare a model for a mobile device/2. Project setup.mp4 8.05 MB
13. TensorFlow Lite Prepare a model for a mobile device/4. Building a model.mp4 14.85 MB
13. TensorFlow Lite Prepare a model for a mobile device/6. Saving the model.mp4 9.4 MB
14. Distributed Training with TensorFlow 2.0/2. Project Setup.mp4 9.08 MB
14. Distributed Training with TensorFlow 2.0/3. Dataset preprocessing.mp4 25.58 MB
14. Distributed Training with TensorFlow 2.0/6. Defining a distributed model.mp4 12.49 MB
15. Annex 1 - Artificial Neural Networks Theory/1. Plan of Attack.mp4 11.84 MB
15. Annex 1 - Artificial Neural Networks Theory/2. The Neuron.mp4 98.68 MB
15. Annex 1 - Artificial Neural Networks Theory/3. The Activation Function.mp4 45.34 MB
15. Annex 1 - Artificial Neural Networks Theory/6. Gradient Descent.mp4 60.56 MB
15. Annex 1 - Artificial Neural Networks Theory/8. Backpropagation.mp4 43.12 MB
16. Annex 2 - Convolutional Neural Networks Theory/1. Plan of Attack.mp4 15.79 MB
16. Annex 2 - Convolutional Neural Networks Theory/3. Step 1 - Convolution.mp4 97.84 MB
16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.mp4 140.21 MB
16. Annex 2 - Convolutional Neural Networks Theory/6. Step 3 - Flattening.mp4 7.92 MB
16. Annex 2 - Convolutional Neural Networks Theory/8. Summary.mp4 30.32 MB
17. Annex 3 - Recurrent Neural Networks Theory/1. Plan of Attack.mp4 10.48 MB
17. Annex 3 - Recurrent Neural Networks Theory/3. Vanishing Gradient.mp4 111 MB
17. Annex 3 - Recurrent Neural Networks Theory/4. LSTMs.mp4 136.43 MB
17. Annex 3 - Recurrent Neural Networks Theory/5. LSTM Practical Intuition.mp4 187.42 MB
17. Annex 3 - Recurrent Neural Networks Theory/6. LSTM Variations.mp4 20.14 MB
2. TensorFlow 2.0 Basics/1. From TensorFlow 1.x to TensorFlow 2.0.mp4 114.8 MB
2. TensorFlow 2.0 Basics/2. Constants, Variables, Tensors.mp4 71.33 MB
2. TensorFlow 2.0 Basics/3. Operations with Tensors.mp4 49.25 MB
2. TensorFlow 2.0 Basics/4. Strings.mp4 40.23 MB
3. Artificial Neural Networks/1. Project Setup.mp4 59.25 MB
3. Artificial Neural Networks/2. Data Preprocessing.mp4 61.76 MB
3. Artificial Neural Networks/3. Building the Artificial Neural Network.mp4 60.43 MB
3. Artificial Neural Networks/4. Training the Artificial Neural Network.mp4 48.51 MB
3. Artificial Neural Networks/5. Evaluating the Artificial Neural Network.mp4 31.44 MB
4. Convolutional Neural Networks/1. Project Setup & Data Preprocessing.mp4 47.36 MB
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