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种子名称： A Practical Guide to Machine Learning with TensorFlow 2.0 & Keras
文件类型： 视频
文件数目： 43个文件
文件大小： 2.24 GB
收录时间： 2021-1-3 03:48
已经下载： 3次
资源热度： 240
最近下载： 2024-12-15 15:17

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A Practical Guide to Machine Learning with TensorFlow 2.0 & Keras.torrent

1. Introduction/1. Introduction.mp443.9MB

1. Introduction/2. Jupyter Notebook & TensorFlow.mp449.82MB

2. Machine Learning, Neural Networks & Deep Learning/1. Machine Learning Demo.mp458.33MB

2. Machine Learning, Neural Networks & Deep Learning/10. Combining Neural Networks & AI.mp436.45MB

2. Machine Learning, Neural Networks & Deep Learning/2. Deep Learning, Machine Learning, & Neural Networks Resources.mp424.26MB

2. Machine Learning, Neural Networks & Deep Learning/3. Statistics & Machine Learning.mp422.53MB

2. Machine Learning, Neural Networks & Deep Learning/4. Neurons & Neuron Layers.mp446.75MB

2. Machine Learning, Neural Networks & Deep Learning/5. Deep Learning.mp440.46MB

2. Machine Learning, Neural Networks & Deep Learning/6. Neurons & Model Training.mp447.2MB

2. Machine Learning, Neural Networks & Deep Learning/7. Training Models.mp425.28MB

2. Machine Learning, Neural Networks & Deep Learning/8. Deep Learning & AI.mp435.39MB

2. Machine Learning, Neural Networks & Deep Learning/9. AI Modeling Demo.mp450.41MB

3. Linear Regression/1. Jupyter Notebook Setup.mp432.92MB

3. Linear Regression/2. Hardware & Compiler.mp425.35MB

3. Linear Regression/3. Tensorflow Architecture.mp476.01MB

3. Linear Regression/4. Plotting Uniform Data.mp432.82MB

3. Linear Regression/5. Plotting Data with Noise.mp456.95MB

3. Linear Regression/6. Predicting Data with TensorFlow.mp451.47MB

3. Linear Regression/7. Visualizing Learning Rate & Loss.mp427.65MB

3. Linear Regression/8. Learning Rate & Gradients.mp487.22MB

3. Linear Regression/9. Learning Rate vs Steps.mp464.62MB

4. Image Processing & Model Training/1. Image Processing with Keras.mp457.18MB

4. Image Processing & Model Training/2. Creating a 2D Image Model.mp440.75MB

4. Image Processing & Model Training/3. Sigmoid vs. ReLU.mp423.03MB

4. Image Processing & Model Training/4. Softmax.mp418.72MB

4. Image Processing & Model Training/5. Understanding the Model.mp454.55MB

4. Image Processing & Model Training/6. Defining the Solver & Loss Function.mp467.61MB

4. Image Processing & Model Training/7. Training a Model.mp4109.42MB

4. Image Processing & Model Training/8. Comparing Different Models.mp477.06MB

4. Image Processing & Model Training/9. Principal Component Analysis.mp461.65MB

5. Convolution & Pooling/1. Convolutions & Pooling Definitions.mp445.15MB

5. Convolution & Pooling/2. Adding Convolutions & Pooling.mp410.91MB

5. Convolution & Pooling/3. Diagramming Convolutions & Pooling.mp4107.45MB

5. Convolution & Pooling/4. Visualizing Convolutional Operations.mp475.14MB

5. Convolution & Pooling/5. Predicting, Saving & Loading Models.mp468.04MB

5. Convolution & Pooling/6. Neural Network Attention.mp4107.17MB

5. Convolution & Pooling/7. Bias in Training Data Sets.mp431.65MB

6. Text Analytics/1. Detecting Good & Bad Reviews.mp475.19MB

6. Text Analytics/2. Natural Language Processing.mp492.96MB

6. Text Analytics/3. Sentiment Analysis.mp466.21MB

6. Text Analytics/4. Long Short Term Memory.mp480.95MB

6. Text Analytics/5. Reinforcement Learning.mp481.51MB

7. Wrapping Up/1. Wrapping Up.mp48.85MB