[DesireCourse.Net] Udemy - Tensorflow and Keras For Neural Networks and Deep Learning

•  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