Complete 2020 Data Science and Machine Learning Bootcamp [UdemyLibrary com]
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| Torrent Hash : | 89BE1977110C01098EDFE38866DDB0B45D59C1EB |
| Torrent Added : | 1 Year+ in Other - Other |
| Torrent Size : | 17.17 GB |
Complete 2020 Data Science and Machine Learning Bootcamp [UdemyLibrary com]
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Torrent File Content (444 files)
Complete 2020 Data Science and Machine Learning Bootcamp [UdemyLibrary.com]
Course
1. Introduction to the 1. What is Machine Learning.mp4 -
Course
1. Introduction to the 1. What is Machine Learning.mp4 -
45.29 MB
1. Introduction to the 2. What is Data Science.mp4 -
42.86 MB
1. Introduction to the 3.1 ML Data Science Syllabus.pdf -
103.97 KB
1. Introduction to the 1. What is Machine Learning.srt -
6.91 KB
1. Introduction to the 2. What is Data Science.srt -
5.72 KB
1. Introduction to the 4. Top Tips for Succeeding on this Course.html -
2.09 KB
1. Introduction to the 5. Course Resources List.html -
1.13 KB
1. Introduction to the 3. Download the Syllabus.html -
1.03 KB
1. Introduction to the 4.1 App Brewery Cornell Notes Template.html -
141 bytes
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4 -
251.83 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.mp4 -
218.25 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/9. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 -
191.54 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/7. Interacting with the Operating System and the Python Try-Catch Block.mp4 -
133.41 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/4. Exploring the CIFAR Data.mp4 -
110.31 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/6. Compiling a Keras Model and Understanding the Cross Entropy Loss Function.mp4 -
103.6 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/8. Fit a Keras Model and Use Tensorboard to Visualise Learning and Spot Problems.mp4 -
100.42 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/5. Pre-processing Scaling Inputs and Creating a Validation Dataset.mp4 -
93.16 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/11. Model Evaluation and the Confusion Matrix.mp4 -
62.76 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/2. Installing Tensorflow and Keras for Jupyter.mp4 -
42.1 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/3. Gathering the CIFAR 10 Dataset.mp4 -
31.37 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/1. Solving a Business Problem with Image Classification.mp4 -
30.53 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/13.1 10 Neural Nets - Keras CIFAR10 Classification.ipynb.zip -
120.11 KB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.srt -
40.5 KB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.srt -
32.97 KB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/9. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.srt -
28.28 KB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/7. Interacting with the Operating System and the Python Try-Catch Block.srt -
23.69 KB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/5. Pre-processing Scaling Inputs and Creating a Validation Dataset.srt -
19.92 KB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/6. Compiling a Keras Model and Understanding the Cross Entropy Loss Function.srt -
18.63 KB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/4. Exploring the CIFAR Data.srt -
18.23 KB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/8. Fit a Keras Model and Use Tensorboard to Visualise Learning and Spot Problems.srt -
14.1 KB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/11. Model Evaluation and the Confusion Matrix.srt -
10.8 KB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/2. Installing Tensorflow and Keras for Jupyter.srt -
6.42 KB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/3. Gathering the CIFAR 10 Dataset.srt -
6.1 KB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/1. Solving a Business Problem with Image Classification.srt -
4.97 KB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/14. Any Feedback on this Section.html -
521 bytes
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/13. Download the Complete Notebook Here.html -
242 bytes
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/1.1 Course Resources.html -
122 bytes
11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4 -
213.67 MB
11. Use Tensorflow to Classify Handwritten Digits/11. Name Scoping and Image Visualisation in Tensorboard.mp4 -
155.37 MB
11. Use Tensorflow to Classify Handwritten Digits/6. Creating Tensors and Setting up the Neural Network Architecture.mp4 -
150.86 MB
11. Use Tensorflow to Classify Handwritten Digits/9. Tensorboard Summaries and the Filewriter.mp4 -
128.29 MB
11. Use Tensorflow to Classify Handwritten Digits/10. Understanding the Tensorflow Graph Nodes and Edges.mp4 -
115.75 MB
11. Use Tensorflow to Classify Handwritten Digits/13. Prediction and Model Evaluation.mp4 -
110.72 MB
11. Use Tensorflow to Classify Handwritten Digits/8. TensorFlow Sessions and Batching Data.mp4 -
100.32 MB
11. Use Tensorflow to Classify Handwritten Digits/7. Defining the Cross Entropy Loss Function, the Optimizer and the Metrics.mp4 -
75.11 MB
11. Use Tensorflow to Classify Handwritten Digits/4. Data Preprocessing One-Hot Encoding and Creating the Validation Dataset.mp4 -
70.19 MB
11. Use Tensorflow to Classify Handwritten Digits/2. Getting the Data and Loading it into Numpy Arrays.mp4 -
52.82 MB
11. Use Tensorflow to Classify Handwritten Digits/5. What is a Tensor.mp4 -
45.39 MB
11. Use Tensorflow to Classify Handwritten Digits/3. Data Exploration and Understanding the Structure of the Input Data.mp4 -
32.41 MB
11. Use Tensorflow to Classify Handwritten Digits/2.1 MNIST.zip -
+ Show all torrent content...14.77 MB
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