42 results
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2. Stacked Autoencoders
3. Increase the Diversity of Your Dataset with Data Augmentation
4. Advanced Transfer Learning
5. TensorFlow 2.x in the Colaboratory Cloud
6. Regression
7. TensorFlow Datasets
8. An Introduction to Reinforcement Learning
9. Build Your First Neural Network with Google Colab
10. Convolutional and Variational Autoencoders
11. Time Series Forecasting with RNNs
12. Introduction to Deep Learning
13. Automated Text Generation
14. Introduction to Tensor Processing Units
15. Working with Other Data
16. Deep Learning with TensorFlow Datasets
17. Progressive Growing Generative Adversarial Networks
18. Build TensorFlow Input Pipelines
19. Classification
20. Convolutional Neural Networks
21. Working with TensorFlow Data
22. Object Detection
23. Sentiment Analysis
24. State-of-the-Art Deep Learning Models in TensorFlow
25. Fast Style Transfer
26. Generative Adversarial Networks
27. Hands-on Scikit-Learn for Machine Learning Applications
28. Scikit-Learn Regression Tuning
29. Classification from Simple Training Sets
30. Scikit-Learn Classifier Tuning from Simple Training Sets
31. Predictive Modeling Through Regression
32. Scikit-Learn Classifier Tuning from Complex Training Sets
33. Classification from Complex Training Sets
34. Introduction to Scikit-Learn
35. Putting It All Together
36. Data Science Fundamentals for Python and MongoDB
37. Monte Carlo Simulation and Density Functions
38. Introduction
39. Working with Data
40. Gradient Descent
41. Linear Algebra
42. Exploring Data
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