[CourseClub.ME] PacktPub - Master Deep Learning with TensorFlow 2.0 in Python [2019] [Video]

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文件数目：85个文件
文件大小：2.3 GB
收录时间：2019-11-16
访问次数：3
相关内容：CourseClub PacktPub Master Deep Learning with TensorFlow Python 2019 Video

文件meta

01.Welcome! Course introduction/0101.Meet your instructors and why you should study machine learning.mp4
84.75 MB
06.Going deeper Introduction to deep neural networks/0603.Understanding deep nets in depth.mp4
58.18 MB
02.Introduction to neural networks/0212.N-parameter gradient descent.mp4
57.61 MB
02.Introduction to neural networks/0211.One parameter gradient descent.mp4
56.41 MB
06.Going deeper Introduction to deep neural networks/0607.Backpropagation.mp4
52.73 MB
03.Setting up the working environment/0306.Installing TensorFlow 2.mp4
51.17 MB
02.Introduction to neural networks/0201.Introduction to neural networks.mp4
45.75 MB
12.Business case/1204.Preprocessing the data.mp4
44.52 MB
02.Introduction to neural networks/0206.The linear model. Multiple inputs and multiple outputs.mp4
42.21 MB
05.TensorFlow - An introduction/0501.TensorFlow outline.mp4
41.97 MB
02.Introduction to neural networks/0203.Types of machine learning.mp4
40.85 MB
10.Preprocessing/1003.Standardization.mp4
40.37 MB
13.Conclusion/1305.An overview of non-NN approaches.mp4
40.17 MB
01.Welcome! Course introduction/0102.What does the course cover.mp4
39.08 MB
13.Conclusion/1301.See how much you have learned.mp4
38.88 MB
06.Going deeper Introduction to deep neural networks/0604.Why do we need non-linearities.mp4
37.97 MB
06.Going deeper Introduction to deep neural networks/0605.Activation functions.mp4
37.97 MB
05.TensorFlow - An introduction/0502.TensorFlow 2 intro.mp4
37.84 MB
07.Overfitting/0703.Training and validation.mp4
37.52 MB
09.Gradient descent and learning rates/0904.Learning rate schedules.mp4
37.08 MB
11.The MNIST example/1105.Preprocess the data - shuffle and batch the data.mp4
36.58 MB
04.Minimal example - your first machine learning algorithm/0401.Minimal example - part 1.mp4
36.36 MB
03.Setting up the working environment/0302.Why Python and why Jupyter.mp4
34.69 MB
09.Gradient descent and learning rates/0901.Stochastic gradient descent.mp4
34.48 MB
07.Overfitting/0701.Underfitting and overfitting.mp4
34.06 MB
02.Introduction to neural networks/0210.Cross-entropy loss.mp4
33.4 MB
11.The MNIST example/1102.How to tackle the MNIST.mp4
33.29 MB
05.TensorFlow - An introduction/0505.Model layout - inputs, outputs, targets, weights, biases, optimizer and loss.mp4
32.94 MB
06.Going deeper Introduction to deep neural networks/0602.What is a deep net.mp4
32.6 MB
07.Overfitting/0702.Underfitting and overfitting - classification.mp4
32.48 MB
10.Preprocessing/1005.One-hot and binary encoding.mp4
32.26 MB
05.TensorFlow - An introduction/0506.Interpreting the result and extracting the weights and bias.mp4
31.38 MB
03.Setting up the working environment/0303.Installing Anaconda.mp4
31.33 MB
07.Overfitting/0704.Training, validation, and test.mp4
31.32 MB
04.Minimal example - your first machine learning algorithm/0404.Minimal example - part 4.mp4
30.41 MB
12.Business case/1201.Exploring the dataset and identifying predictors.mp4
30.16 MB
09.Gradient descent and learning rates/0906.Adaptive learning rate schedules.mp4
29.83 MB
09.Gradient descent and learning rates/0907.Adaptive moment estimation.mp4
29.08 MB
07.Overfitting/0706.Early stopping.mp4
28.33 MB
13.Conclusion/1304.An overview of RNNs.mp4
27.42 MB
11.The MNIST example/1106.Outline the model.mp4
27.36 MB
11.The MNIST example/1104.Preprocess the data - create a validation dataset and scale the data.mp4
27.05 MB
02.Introduction to neural networks/0202.Training the model.mp4
26.82 MB
12.Business case/1206.Learning and interpreting the result.mp4
26.4 MB
08.Initialization/0801.Initialization - Introduction.mp4
26.17 MB
02.Introduction to neural networks/0204.The linear model.mp4
26.04 MB
07.Overfitting/0705.N-fold cross validation.mp4
25.57 MB
10.Preprocessing/1001.Preprocessing introduction.mp4
25.55 MB
06.Going deeper Introduction to deep neural networks/0606.Softmax activation.mp4
24.98 MB
06.Going deeper Introduction to deep neural networks/0608.Backpropagation - visual representation.mp4
24.39 MB