A Practical Guide to Machine Learning with TensorFlow 2.0 & Keras
| 文件类型 | 收录时间 | 最后活跃 | 资源热度 | 文件大小 | 文件数量 |
|---|---|---|---|---|---|
| 视频 | 2021-1-3 03:48 | 2024-12-20 23:50 | 242 | 2.24 GB | 43 |
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文件列表
- 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
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