| 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/2.1 Data.zip.zip | 532.36 MB |
| 10. Convolution Neural Network (CNN) For Image Analysis/1. Introduction to CNN.mp4 | 183.49 MB |
| 10. Convolution Neural Network (CNN) For Image Analysis/12.1 planesnet.json.json | 181.82 MB |
| 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/6. Install Tensorflow.mp4 | 167.82 MB |
| 7. Unsupervised Learning With Tensorflow and Keras/3.1 creditcard.csv.csv | 143.85 MB |
| 7. Unsupervised Learning With Tensorflow and Keras/7.1 creditcard.csv.csv | 143.85 MB |
| 5. Some Preliminary Tensorflow and Keras Applications/9.1 creditcard.csv.csv | 143.84 MB |
| 9. Deep Learning For Tensorflow & Keras/7.2 creditcard.csv.csv | 143.84 MB |
| 9. Deep Learning For Tensorflow & Keras/5. Wide & Deep Learning (Tensorflow).mp4 | 122.9 MB |
| 5. Some Preliminary Tensorflow and Keras Applications/1. Theory of Linear Regression (OLS).mp4 | 112.72 MB |
| 2. Introduction to Python Data Science Packages/4. Numpy Operations.mp4 | 111.82 MB |
| 10. Convolution Neural Network (CNN) For Image Analysis/6. CNN on Image Data-Part 1.mp4 | 108.91 MB |
| 5. Some Preliminary Tensorflow and Keras Applications/9. Linear Classifier For Binary Classification.mp4 | 107.26 MB |
| 6. Some Basic Concepts/2. Theory Behind ANN (Artificial Neural Network) and DNN (Deep Neural Networks).mp4 | 107.02 MB |
| 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/5. Introduction to IPython.mp4 | 101 MB |
| 9. Deep Learning For Tensorflow & Keras/1. What is Artificial Intelligence.mp4 | 99.53 MB |
| 5. Some Preliminary Tensorflow and Keras Applications/7. More on Linear Regressor Estimator.mp4 | 98.57 MB |
| 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/3. Python Data Science Environment.mp4 | 94.25 MB |
| 6. Some Basic Concepts/1. What is Machine Learning.mp4 | 91.35 MB |
| 10. Convolution Neural Network (CNN) For Image Analysis/3. Activation Functions.mp4 | 91.28 MB |
| 5. Some Preliminary Tensorflow and Keras Applications/11. Linear Classification with Binary Classification With Mixed Predictors.mp4 | 88.84 MB |
| 2. Introduction to Python Data Science Packages/6. Introduction to Pandas.mp4 | 84.65 MB |
| 9. Deep Learning For Tensorflow & Keras/3. Deep Neural Network (DNN) Classifier With Mixed Predictors.mp4 | 83.75 MB |
| 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/8. Install Keras on Windows 10.mp4 | 82.92 MB |
| 10. Convolution Neural Network (CNN) For Image Analysis/2. Implement a CNN for Multi-Class Supervised Classification.mp4 | 79.45 MB |
| 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/9. Install Keras on Mac.mp4 | 77.09 MB |
| 5. Some Preliminary Tensorflow and Keras Applications/2. OLS From First Principles.mp4 | 74.98 MB |
| 10. Convolution Neural Network (CNN) For Image Analysis/8. More on TFLearn.mp4 | 74.39 MB |
| 12. Recurrent Neural Networks (RNN)/3. LSTM for Predicting Stock Prices.mp4 | 72.32 MB |
| 10. Convolution Neural Network (CNN) For Image Analysis/7. CNN on Image Data-Part 2.mp4 | 71.1 MB |
| 7. Unsupervised Learning With Tensorflow and Keras/3. Autoencoders in Tensorflow (Binary Class Problem).mp4 | 70.56 MB |
| 5. Some Preliminary Tensorflow and Keras Applications/12. Softmax Classification With Tensorflow.mp4 | 69.98 MB |
| 7. Unsupervised Learning With Tensorflow and Keras/7. Deep Autoencoder With Keras.mp4 | 68.09 MB |
| 11. Autoencoders With Convolution Neural Networks (CNN)/1. Autoencoders for With CNN- Tensorflow.mp4 | 66.25 MB |
| 2. Introduction to Python Data Science Packages/3. Create Numpy Arrays.mp4 | 63.3 MB |
| 5. Some Preliminary Tensorflow and Keras Applications/10. Accuracy Assessment For Binary Classification.mp4 | 62.96 MB |
| 9. Deep Learning For Tensorflow & Keras/2. Deep Neural Network (DNN) Classifier With Tensorflow.mp4 | 62.68 MB |
| 8. Neural Network for Tensorflow & Keras/1. Multi Layer Perceptron (MLP) with Tensorflow.mp4 | 61.32 MB |
| 5. Some Preliminary Tensorflow and Keras Applications/6. Multiple Regression With Tensorflow Estimators.mp4 | 58.76 MB |
| 12. Recurrent Neural Networks (RNN)/1. Theory Behind RNNs.mp4 | 57.21 MB |
| 7. Unsupervised Learning With Tensorflow and Keras/4. Autoencoders in Tensorflow (Multiple Classes).mp4 | 56.49 MB |
| 2. Introduction to Python Data Science Packages/7. Read in Data from CSV.mp4 | 53.72 MB |
| 7. Unsupervised Learning With Tensorflow and Keras/5. Autoencoders in Keras (Simple).mp4 | 53.18 MB |
| 12. Recurrent Neural Networks (RNN)/2. LSTM For Time Series Data.mp4 | 52.35 MB |
| 9. Deep Learning For Tensorflow & Keras/4. Deep Neural Network (DNN) Regression With Tensorflow.mp4 | 51.18 MB |
| 8. Neural Network for Tensorflow & Keras/4. Keras MLP for Multiclass Classification.mp4 | 50.62 MB |
| 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/4. For Mac Users.mp4 | 50.18 MB |
| 10. Convolution Neural Network (CNN) For Image Analysis/4. More on CNN.mp4 | 48.08 MB |
| 2. Introduction to Python Data Science Packages/5. Numpy for Statistical Operation.mp4 | 47.83 MB |
| 5. Some Preliminary Tensorflow and Keras Applications/4. Multiple Regression With Tensorflow-Part 1.mp4 | 46.44 MB |