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1. BONUS Sentiment Analysis.mp4
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MP4
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11.4 MB
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1. BONUS Sentiment Analysis.srt
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SRT
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6.4 KB
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1. Facial Expression Recognition Project Introduction.mp4
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MP4
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9.8 MB
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1. Facial Expression Recognition Project Introduction.srt
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SRT
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6.5 KB
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1. Introduction and Outline.mp4
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MP4
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46.9 MB
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1. Introduction and Outline.srt
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SRT
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5.3 KB
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1. Linear Classification.mp4
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MP4
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7.6 MB
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1. Linear Classification.srt
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SRT
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5.2 KB
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1. Practical Section Introduction.mp4
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MP4
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4.7 MB
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1. Practical Section Introduction.srt
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SRT
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3.5 KB
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1. Training Section Introduction.mp4
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MP4
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2.8 MB
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1. Training Section Introduction.srt
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SRT
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2 KB
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1. What is the Appendix.mp4
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MP4
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5.5 MB
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1. What is the Appendix.srt
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SRT
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3.8 KB
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10. E-Commerce Course Project Training the Logistic Model.mp4
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MP4
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17.1 MB
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10. E-Commerce Course Project Training the Logistic Model.srt
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SRT
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5.3 KB
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10. Proof that using Jupyter Notebook is the same as not using it.mp4
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MP4
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78.3 MB
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10. Proof that using Jupyter Notebook is the same as not using it.srt
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SRT
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78.3 MB
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10. Why Divide by Square Root of D.mp4
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MP4
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23.5 MB
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10. Why Divide by Square Root of D.srt
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SRT
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8.7 KB
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11. Practical Section Summary.mp4
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MP4
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3.4 MB
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11. Practical Section Summary.srt
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SRT
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78.3 MB
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11. Python 2 vs Python 3.mp4
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MP4
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7.8 MB
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11. Python 2 vs Python 3.srt
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SRT
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6.6 KB
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11. Training Section Summary.mp4
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MP4
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3.4 MB
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11. Training Section Summary.srt
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SRT
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2.6 KB
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12. What order should I take your courses in (part 1).mp4
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MP4
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29.3 MB
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12. What order should I take your courses in (part 1).srt
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SRT
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17.1 KB
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13. What order should I take your courses in (part 2).mp4
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MP4
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37.6 MB
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13. What order should I take your courses in (part 2).srt
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SRT
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25.1 KB
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14. BONUS Where to get discount coupons and FREE deep learning material.mp4
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MP4
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37.8 MB
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14. BONUS Where to get discount coupons and FREE deep learning material.srt
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SRT
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8.4 KB
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2. A closed-form solution to the Bayes classifier.mp4
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MP4
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9.1 MB
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2. A closed-form solution to the Bayes classifier.srt
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SRT
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7.3 KB
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2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4
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MP4
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4 MB
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2. BONUS Where to get Udemy coupons and FREE deep learning material.srt
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SRT
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3.4 KB
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2. Biological inspiration - the neuron.mp4
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MP4
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9.4 MB
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2. Biological inspiration - the neuron.srt
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SRT
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4.4 KB
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2. Facial Expression Recognition Problem Description.mp4
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MP4
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21.4 MB
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2. Facial Expression Recognition Problem Description.srt
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SRT
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16 KB
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2. Gradient Descent Tutorial.mp4
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MP4
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22.8 MB
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2. Gradient Descent Tutorial.srt
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SRT
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5.9 KB
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2. How to Succeed in this Course.mp4
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MP4
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6.4 MB
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2. How to Succeed in this Course.srt
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SRT
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4 KB
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2. Interpreting the Weights.mp4
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MP4
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6.3 MB
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2. Interpreting the Weights.srt
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SRT
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4.7 KB
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3. BONUS Exercises + how to get good at this.mp4
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MP4
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5.3 MB
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3. BONUS Exercises + how to get good at this.srt
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SRT
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3.8 KB
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3. How do we calculate the output of a neuron logistic classifier - Theory.mp4
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MP4
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15.2 MB
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3. How do we calculate the output of a neuron logistic classifier - Theory.srt
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SRT
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80.2 MB
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3. L2 Regularization - Theory.mp4
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MP4
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14.7 MB
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3. L2 Regularization - Theory.srt
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SRT
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11.5 KB
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3. Review of the classification problem.mp4
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MP4
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3 MB
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3. Review of the classification problem.srt
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2.2 KB
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3. The class imbalance problem.mp4
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MP4
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10.1 MB
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3. The class imbalance problem.srt
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SRT
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8 KB
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3. What do all these symbols mean X, Y, N, D, L, J, P(Y=1X), etc..mp4
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MP4
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6.4 MB
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3. What do all these symbols mean X, Y, N, D, L, J, P(Y=1X), etc..srt
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SRT
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5.2 KB
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3. Windows-Focused Environment Setup 2018.mp4
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MP4
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186.3 MB
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3. Windows-Focused Environment Setup 2018.srt
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SRT
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21.6 KB
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4. How do we calculate the output of a neuron logistic classifier - Code.mp4
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MP4
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5.8 MB
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4. How do we calculate the output of a neuron logistic classifier - Code.srt
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SRT
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4.5 KB
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4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
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MP4
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43.9 MB
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4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
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SRT
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15.5 KB
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4. Introduction to the E-Commerce Course Project.mp4
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MP4
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14.8 MB
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4. Introduction to the E-Commerce Course Project.srt
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SRT
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7.6 MB
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4. L2 Regularization - Code.mp4
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MP4
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4.5 MB
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4. L2 Regularization - Code.srt
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SRT
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1.6 KB
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4. The cross-entropy error function - Theory.mp4
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MP4
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4.5 MB
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4. The cross-entropy error function - Theory.srt
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SRT
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4.4 KB
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4. Utilities walkthrough.mp4
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MP4
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13.5 MB
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4. Utilities walkthrough.srt
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SRT
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5.8 KB
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5. Easy first quiz.html
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HTML
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102.4 B
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5. Facial Expression Recognition in Code.mp4
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MP4
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24 MB
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5. Facial Expression Recognition in Code.srt
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SRT
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8.1 KB
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5. How to Code by Yourself (part 1).mp4
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MP4
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24.5 MB
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5. How to Code by Yourself (part 1).srt
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SRT
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24.3 KB
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5. Interpretation of Logistic Regression Output.mp4
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MP4
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27.9 MB
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5. Interpretation of Logistic Regression Output.srt
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SRT
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6.4 KB
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5. L1 Regularization - Theory.mp4
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MP4
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4.4 MB
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5. L1 Regularization - Theory.srt
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SRT
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14.9 MB
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5. The cross-entropy error function - Code.mp4
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MP4
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9.1 MB
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5. The cross-entropy error function - Code.srt
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SRT
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3.9 KB
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6. E-Commerce Course Project Pre-Processing the Data.mp4
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MP4
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11.2 MB
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6. E-Commerce Course Project Pre-Processing the Data.srt
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SRT
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5.1 KB
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6. Facial Expression Recognition Project Summary.mp4
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MP4
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2.9 MB
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6. Facial Expression Recognition Project Summary.srt
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SRT
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1.7 KB
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6. How to Code by Yourself (part 2).mp4
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MP4
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14.8 MB
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6. How to Code by Yourself (part 2).srt
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SRT
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14 KB
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6. L1 Regularization - Code.mp4
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MP4
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12 MB
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6. L1 Regularization - Code.srt
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SRT
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4.6 KB
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6. Visualizing the linear discriminant Bayes classifier Gaussian clouds.mp4
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MP4
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5.3 MB
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6. Visualizing the linear discriminant Bayes classifier Gaussian clouds.srt
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SRT
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2.3 KB
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7. E-Commerce Course Project Making Predictions.mp4
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MP4
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5.7 MB
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7. E-Commerce Course Project Making Predictions.srt
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SRT
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3 KB
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7. How to Uncompress a .tar.gz file.mp4
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MP4
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5.4 MB
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7. How to Uncompress a .tar.gz file.srt
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SRT
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4.4 KB
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7. L1 vs L2 Regularization.mp4
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MP4
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4.8 MB
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7. L1 vs L2 Regularization.srt
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SRT
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4.3 KB
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7. Maximizing the likelihood.mp4
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MP4
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25.2 MB
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7. Maximizing the likelihood.srt
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SRT
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4 KB
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8. Feedforward Quiz.mp4
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MP4
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2.3 MB
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8. Feedforward Quiz.srt
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SRT
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1.7 KB
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8. How to Succeed in this Course (Long Version).mp4
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MP4
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13 MB
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8. How to Succeed in this Course (Long Version).srt
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SRT
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15.5 KB
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8. The donut problem.mp4
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MP4
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24.7 MB
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8. The donut problem.srt
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SRT
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7.4 KB
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8. Updating the weights using gradient descent - Theory.mp4
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MP4
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9.3 MB
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8. Updating the weights using gradient descent - Theory.srt
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SRT
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8.1 KB
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9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
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MP4
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39 MB
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9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt
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SRT
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33.9 KB
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9. Prediction Section Summary.mp4
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MP4
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2.2 MB
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9. Prediction Section Summary.srt
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SRT
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1.5 KB
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9. The XOR problem.mp4
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MP4
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14.2 MB
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9. The XOR problem.srt
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SRT
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6.1 KB
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9. Updating the weights using gradient descent - Code.mp4
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MP4
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7.3 MB
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9. Updating the weights using gradient descent - Code.srt
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SRT
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2.5 KB
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Readme.txt
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TXT
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921.6 B
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[GigaCourse.com].url
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URL
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0 B
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![Udemy - Deep Learning Prerequisites Logistic Regression in Python [GC]](/static/img/no-torrent-image.png "Udemy - Deep Learning Prerequisites Logistic Regression in Python [GC]")
