Tensorflow Tutorial: Hands-on AI development with Tensorflow [Latest]

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Tensorflow Tutorial: Hands-on AI development with Tensorflow [Latest]

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Tensorflow Tutorial: Hands-on AI development with Tensorflow [Latest]
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1. Decision Trees - Theory.mp4
MP4
138.8 MB
1. Decision Trees - Theory.srt
SRT
15.2 KB
1. Fashion Clothing Recognition.mp4
MP4
156.7 MB
1. Fashion Clothing Recognition.srt
SRT
22.2 KB
1. Introduction.mp4
MP4
109.1 MB
1. Introduction.srt
SRT
11.6 KB
1. K-Means Algorithm (Part 1).mp4
MP4
99.9 MB
1. K-Means Algorithm (Part 1).srt
SRT
14.3 KB
1. What is TensorFlow 2 Preview.mp4
MP4
86.9 MB
1. What is TensorFlow 2 Preview.srt
SRT
12.6 KB
2. Basics of TensorFlow.mp4
MP4
74.4 MB
2. Basics of TensorFlow.srt
SRT
11.6 KB
2. CIFAR 10 and CNN.mp4
MP4
83.6 MB
2. CIFAR 10 and CNN.srt
SRT
12.7 KB
2. Convolution in CNN (part1).mp4
MP4
137.3 MB
2. Convolution in CNN (part1).srt
SRT
16.5 KB
2. Decision Trees - Implementation.mp4
MP4
60.9 MB
2. Decision Trees - Implementation.srt
SRT
10.1 KB
2. Gates and Forward Propagation.mp4
MP4
104.3 MB
2. Gates and Forward Propagation.srt
SRT
12 KB
2. K-Means Algorithm (Part 2).mp4
MP4
103.2 MB
2. K-Means Algorithm (Part 2).srt
SRT
12.9 KB
3. Cats vs Dogs.mp4
MP4
289.5 MB
3. Cats vs Dogs.srt
SRT
39.8 KB
3. Centroid Initialization.mp4
MP4
66.3 MB
3. Centroid Initialization.srt
SRT
8.7 KB
3. Complex Decision Boundaries.mp4
MP4
111.7 MB
3. Complex Decision Boundaries.srt
SRT
13.6 KB
3. Convolution in CNN (part2).mp4
MP4
131.7 MB
3. Convolution in CNN (part2).srt
SRT
15 KB
3. Graphs.mp4
MP4
112.2 MB
3. Graphs.srt
SRT
14.9 KB
3. Linear Regression - Theory.mp4
MP4
144.1 MB
3. Linear Regression - Theory.srt
SRT
17.3 KB
4. Action Recognition.mp4
MP4
82.1 MB
4. Action Recognition.srt
SRT
10.4 KB
4. Automatic Differentiation.mp4
MP4
77.6 MB
4. Automatic Differentiation.srt
SRT
11.3 KB
4. Backpropagation.mp4
MP4
147.2 MB
4. Backpropagation.srt
SRT
20.7 KB
4. K-Means ++.mp4
MP4
90.3 MB
4. K-Means ++.srt
SRT
12.6 KB
4. Layers of CNN.mp4
MP4
113.8 MB
4. Layers of CNN.srt
SRT
13 KB
4. Linear Regression - Implementation.mp4
MP4
104 MB
4. Linear Regression - Implementation.srt
SRT
17 KB
5. Digit Classification.mp4
MP4
94 MB
5. Digit Classification.srt
SRT
11.9 KB
5. Gradient Descent Type and Softmax.mp4
MP4
62.9 MB
5. Gradient Descent Type and Softmax.srt
SRT
7.7 KB
5. Keras and TensorFlow.mp4
MP4
67 MB
5. Keras and TensorFlow.srt
SRT
7.8 KB
5. Logistic Regression - Theory.mp4
MP4
107.5 MB
5. Logistic Regression - Theory.srt
SRT
11.7 KB
5. Number of Clusters.mp4
MP4
31.8 MB
5. Number of Clusters.srt
SRT
4.6 KB
6. Digit Classification.mp4
MP4
144.4 MB
6. Digit Classification.srt
SRT
21.1 KB
6. Famous CNN Architectures.mp4
MP4
96.5 MB
6. Famous CNN Architectures.srt
SRT
12.2 KB
6. Intro to Machine Learning.mp4
MP4
112.4 MB
6. Intro to Machine Learning.srt
SRT
11.8 KB
6. K-Means Implementation.mp4
MP4
50.7 MB
6. K-Means Implementation.srt
SRT
7.4 KB
6. Logistic Regression - Implementation.mp4
MP4
117.3 MB
6. Logistic Regression - Implementation.srt
SRT
17.9 KB
7. Overfitting and Regularization.mp4
MP4
76.1 MB
7. Overfitting and Regularization.srt
SRT
9 KB
7. Principal Component Analysis.mp4
MP4
109.9 MB
7. Principal Component Analysis.srt
SRT
12.6 KB
7. Types of Supervised Learning.mp4
MP4
27.6 MB
7. Types of Supervised Learning.srt
SRT
3.8 KB
8. Facial Recognition using PCA.mp4
MP4
149.1 MB
8. Facial Recognition using PCA.srt
SRT
19.4 KB
8. Model Evaluation - Theory.mp4
MP4
46.2 MB
8. Model Evaluation - Theory.srt
SRT
5.2 KB
9. Model Evaluation - Implementation.mp4
MP4
33 MB
9. Model Evaluation - Implementation.srt
SRT
4 KB
CourseRecap-Click For More Courses!!.url
URL
0 B
READ_ME.txt
TXT
512 B

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