Deep Learning - Artificial Neural Networks with Tensorflow
大小
1.08 GB
文件数
64
Info Hash:
75DD48F88BB1AA3D7BE7356BF08AE454F9D3E8B1
收录时间
2025-12-14 11:45:20
更新时间
2025-12-20 08:17:34
文件列表 (64)
Chapter 3 Feedforward Artificial Neural Networks/004. Activation Functions.mp4
61.73 MB
Chapter 1 Welcome/001. Introduction.mp4
19.35 MB
Chapter 1 Welcome/002. Outline.en.srt
7.5 KB
Chapter 1 Welcome/002. Outline.mp4
21.86 MB
Chapter 2 Machine Learning and Neurons/001. What Is Machine Learning.en.srt
20.38 KB
Chapter 2 Machine Learning and Neurons/001. What Is Machine Learning.mp4
53.53 MB
Chapter 2 Machine Learning and Neurons/002. Code Preparation (Classification Theory).en.srt
22.16 KB
Chapter 2 Machine Learning and Neurons/002. Code Preparation (Classification Theory).mp4
48.32 MB
Chapter 2 Machine Learning and Neurons/003. Classification Notebook.en.srt
10.06 KB
Chapter 2 Machine Learning and Neurons/003. Classification Notebook.mp4
44.7 MB
Chapter 2 Machine Learning and Neurons/004. Code Preparation (Regression Theory).en.srt
9.62 KB
Chapter 2 Machine Learning and Neurons/004. Code Preparation (Regression Theory).mp4
23.55 MB
Chapter 2 Machine Learning and Neurons/005. Regression Notebook.en.srt
13.09 KB
Chapter 2 Machine Learning and Neurons/005. Regression Notebook.mp4
47.66 MB
Chapter 2 Machine Learning and Neurons/006. The Neuron.en.srt
13.87 KB
Chapter 2 Machine Learning and Neurons/006. The Neuron.mp4
34.09 MB
Chapter 2 Machine Learning and Neurons/007. How Does a Model Learn .en.srt
14.88 KB
Chapter 2 Machine Learning and Neurons/007. How Does a Model Learn .mp4
38.56 MB
Chapter 2 Machine Learning and Neurons/008. Making Predictions.en.srt
8.76 KB
Chapter 2 Machine Learning and Neurons/008. Making Predictions.mp4
29.72 MB
Chapter 2 Machine Learning and Neurons/009. Saving and Loading a Model.en.srt
5.49 KB
Chapter 2 Machine Learning and Neurons/009. Saving and Loading a Model.mp4
27.91 MB
Chapter 2 Machine Learning and Neurons/010. Why Keras.en.srt
6.47 KB
Chapter 2 Machine Learning and Neurons/010. Why Keras.mp4
17.56 MB
Chapter 2 Machine Learning and Neurons/011. Suggestion Box.en.srt
4.63 KB
Chapter 2 Machine Learning and Neurons/011. Suggestion Box.mp4
17.3 MB
Chapter 3 Feedforward Artificial Neural Networks/001. Artificial Neural Networks Section Introduction.en.srt
8.45 KB
Chapter 3 Feedforward Artificial Neural Networks/001. Artificial Neural Networks Section Introduction.mp4
26.7 MB
Chapter 3 Feedforward Artificial Neural Networks/002. Forward Propagation.en.srt
13.07 KB
Chapter 3 Feedforward Artificial Neural Networks/002. Forward Propagation.mp4
33.72 MB
Chapter 3 Feedforward Artificial Neural Networks/003. The Geometrical Picture.en.srt
12.73 KB
Chapter 3 Feedforward Artificial Neural Networks/003. The Geometrical Picture.mp4
39.37 MB
Chapter 3 Feedforward Artificial Neural Networks/004. Activation Functions.en.srt
24.06 KB
Chapter 1 Welcome/001. Introduction.en.srt
3.46 KB
Chapter 3 Feedforward Artificial Neural Networks/005. Multiclass Classification.en.srt
11.86 KB
Chapter 3 Feedforward Artificial Neural Networks/005. Multiclass Classification.mp4
33.94 MB
Chapter 3 Feedforward Artificial Neural Networks/006. How to Represent Images.en.srt
16.9 KB
Chapter 3 Feedforward Artificial Neural Networks/006. How to Represent Images.mp4
49.61 MB
Chapter 3 Feedforward Artificial Neural Networks/007. Code Preparation (Artificial Neural Networks).en.srt
17.38 KB
Chapter 3 Feedforward Artificial Neural Networks/007. Code Preparation (Artificial Neural Networks).mp4
42.18 MB
Chapter 3 Feedforward Artificial Neural Networks/008. ANN for Image Classification.en.srt
11.07 KB
Chapter 3 Feedforward Artificial Neural Networks/008. ANN for Image Classification.mp4
40.17 MB
Chapter 3 Feedforward Artificial Neural Networks/009. ANN for Regression.en.srt
14.35 KB
Chapter 3 Feedforward Artificial Neural Networks/009. ANN for Regression.mp4
55.99 MB
Chapter 3 Feedforward Artificial Neural Networks/010. How to Choose Hyperparameters.en.srt
8.58 KB
Chapter 3 Feedforward Artificial Neural Networks/010. How to Choose Hyperparameters.mp4
23.65 MB
Chapter 4 In-Depth Loss Functions/001. Mean Squared Error.en.srt
11.87 KB
Chapter 4 In-Depth Loss Functions/001. Mean Squared Error.mp4
30.29 MB
Chapter 4 In-Depth Loss Functions/002. Binary Cross Entropy.en.srt
7.56 KB
Chapter 4 In-Depth Loss Functions/002. Binary Cross Entropy.mp4
19.76 MB
Chapter 4 In-Depth Loss Functions/003. Categorical Cross Entropy.en.srt
10.39 KB
Chapter 4 In-Depth Loss Functions/003. Categorical Cross Entropy.mp4
26.94 MB
Chapter 5 In-Depth Gradient Descent/001. Gradient Descent.en.srt
10.49 KB
Chapter 5 In-Depth Gradient Descent/001. Gradient Descent.mp4
28.54 MB
Chapter 5 In-Depth Gradient Descent/002. Stochastic Gradient Descent.en.srt
5.63 KB
Chapter 5 In-Depth Gradient Descent/002. Stochastic Gradient Descent.mp4
20.62 MB
Chapter 5 In-Depth Gradient Descent/003. Momentum.en.srt
8.04 KB
Chapter 5 In-Depth Gradient Descent/003. Momentum.mp4
28.83 MB
Chapter 5 In-Depth Gradient Descent/004. Variable and Adaptive Learning Rates.en.srt
16.4 KB
Chapter 5 In-Depth Gradient Descent/004. Variable and Adaptive Learning Rates.mp4
32.6 MB
Chapter 5 In-Depth Gradient Descent/005. Adam Optimization (Part 1).en.srt
17.65 KB
Chapter 5 In-Depth Gradient Descent/005. Adam Optimization (Part 1).mp4
42.09 MB
Chapter 5 In-Depth Gradient Descent/006. Adam Optimization (Part 2).en.srt
14.95 KB
Chapter 5 In-Depth Gradient Descent/006. Adam Optimization (Part 2).mp4
40.46 MB