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Tensorflow Tutorial Hands-on AI development with Tensorflow
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[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow (Size: 3.98 GB) (Files: 121)
[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow
6. Live Projects
3. Cats vs Dogs.mp4
3. Cats vs Dogs.srt
1. Fashion Clothing Recognition.srt
2. CIFAR 10 and CNN.srt
4. Action Recognition.srt
1. Fashion Clothing Recognition.mp4
2. CIFAR 10 and CNN.mp4
4. Action Recognition.mp4
3. Section 3
6. Digit Classification.srt
4. Backpropagation.srt
3. Complex Decision Boundaries.srt
1. Introduction.srt
2. Gates and Forward Propagation.srt
5. Gradient Descent Type and Softmax.srt
4. Backpropagation.mp4
6. Digit Classification.mp4
3. Complex Decision Boundaries.mp4
2. Gates and Forward Propagation.mp4
1. Introduction.mp4
5. Gradient Descent Type and Softmax.mp4
5. Section 5
8. Facial Recognition using PCA.srt
1. K-Means Algorithm (Part 1).srt
2. K-Means Algorithm (Part 2).srt
4. K-Means ++.srt
7. Principal Component Analysis.srt
3. Centroid Initialization.srt
6. K-Means Implementation.srt
5. Number of Clusters.srt
8. Facial Recognition using PCA.mp4
7. Principal Component Analysis.mp4
2. K-Means Algorithm (Part 2).mp4
1. K-Means Algorithm (Part 1).mp4
4. K-Means ++.mp4
3. Centroid Initialization.mp4
6. K-Means Implementation.mp4
5. Number of Clusters.mp4
2. Section 2
6. Logistic Regression - Implementation.srt
3. Linear Regression - Theory.srt
4. Linear Regression - Implementation.srt
1. Decision Trees - Theory.srt
5. Logistic Regression - Theory.srt
2. Decision Trees - Implementation.srt
7. Overfitting and Regularization.srt
8. Model Evaluation - Theory.srt
9. Model Evaluation - Implementation.srt
3. Linear Regression - Theory.mp4
1. Decision Trees - Theory.mp4
6. Logistic Regression - Implementation.mp4
5. Logistic Regression - Theory.mp4
4. Linear Regression - Implementation.mp4
7. Overfitting and Regularization.mp4
2. Decision Trees - Implementation.mp4
8. Model Evaluation - Theory.mp4
9. Model Evaluation - Implementation.mp4
4. Section 4
2. Convolution in CNN (part1).srt
3. Convolution in CNN (part2).srt
4. Layers of CNN.srt
6. Famous CNN Architectures.srt
5. Digit Classification.srt
1. Introduction.srt
2. Convolution in CNN (part1).mp4
3. Convolution in CNN (part2).mp4
4. Layers of CNN.mp4
1. Introduction.mp4
6. Famous CNN Architectures.mp4
5. Digit Classification.mp4
1. Section 1
3. Graphs.srt
1. What is TensorFlow 2 Preview.srt
6. Intro to Machine Learning.srt
2. Basics of TensorFlow.srt
4. Automatic Differentiation.srt
5. Keras and TensorFlow.srt
7. Types of Supervised Learning.srt
6. Intro to Machine Learning.mp4
3. Graphs.mp4
1. What is TensorFlow 2 Preview.mp4
4. Automatic Differentiation.mp4
2. Basics of TensorFlow.mp4
5. Keras and TensorFlow.mp4
7. Types of Supervised Learning.mp4
TutsNode.com.txt
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