| 01 Course Introduction and Table of Contents/001 Course Introduction and Table of Contents.mp4 | 255.18 MB |
| 17 Step 2 and 3 EDA and Data Preparation/001 Step 2 and 3 EDA and Data Preparation - Part 1.mp4 | 149.77 MB |
| 52 Hyper Parameter Tuning/002 Hyper Parameter Tuning - Part 2.mp4 | 125.61 MB |
| 40 CNN Basics/001 CNN Basics.mp4 | 125.52 MB |
| 17 Step 2 and 3 EDA and Data Preparation/002 Step 2 and 3 EDA and Data Preparation - Part 2.mp4 | 120.41 MB |
| 19 Step 5 and 6 Compile and Fit Model/001 Step 5 and 6 Compile and Fit Model.mp4 | 110.25 MB |
| 45 Flowers Classification CNN - Training and Visualization/001 Flowers Classification CNN - Training and Visualization.mp4 | 106.53 MB |
| 56 VGG16 Transfer Learning Training Flowers Dataset/002 VGG16 Transfer Learning Training Flowers Dataset - part 2.mp4 | 106.31 MB |
| 38 Keras Directory Image Augmentation/001 Keras Directory Image Augmentation.mp4 | 105.63 MB |
| 37 Keras Single Image Augmentation/001 Keras Single Image Augmentation - Part 1.mp4 | 104.04 MB |
| 30 Step 2 - EDA and Data Visualization/001 Step 2 - EDA and Data Visualization.mp4 | 101.08 MB |
| 54 VGG16 and VGG19 prediction/001 VGG16 and VGG19 prediction - Part 1.mp4 | 100.73 MB |
| 16 King County House Sales Regression Model - Step 1 Fetch and Load Dataset/001 King County House Sales Regression Model - Step 1 Fetch and Load Dataset.mp4 | 99.73 MB |
| 39 Keras Data Frame Augmentation/001 Keras Data Frame Augmentation.mp4 | 99.1 MB |
| 52 Hyper Parameter Tuning/001 Hyper Parameter Tuning - Part 1.mp4 | 97.98 MB |
| 41 Stride Padding and Flattening Concepts of CNN/001 Stride Padding and Flattening Concepts of CNN.mp4 | 96.13 MB |
| 53 Transfer Learning using Pretrained Models - VGG Introduction/001 Transfer Learning using Pretrained Models - VGG Introduction.mp4 | 95.91 MB |
| 37 Keras Single Image Augmentation/002 Keras Single Image Augmentation - Part 2.mp4 | 95.03 MB |
| 55 ResNet50 Prediction/001 ResNet50 Prediction.mp4 | 94.23 MB |
| 42 Flowers CNN Image Classification Model - Fetch Load and Prepare Data/001 Flowers CNN Image Classification Model - Fetch Load and Prepare Data.mp4 | 92.3 MB |
| 15 Popular Neural Network Types/001 Popular Neural Network Types.mp4 | 89.15 MB |
| 44 Flowers Classification CNN - Defining the Model/002 Flowers Classification CNN - Defining the Model - Part 2.mp4 | 89.03 MB |
| 14 Popular Optimizers/001 Popular Optimizers.mp4 | 88.35 MB |
| 03 Introduction to Deep learning and Neural Networks/001 Introduction to Deep learning and Neural Networks.mp4 | 87.53 MB |
| 13 Popular Types of Loss Functions/001 Popular Types of Loss Functions.mp4 | 86.75 MB |
| 23 Step 1 - Fetch and Load Data/001 Step 1 - Fetch and Load Data.mp4 | 85.89 MB |
| 04 Setting up Computer - Installing Anaconda/001 Setting up Computer - Installing Anaconda.mp4 | 85.57 MB |
| 35 Digital Image Basics/001 Digital Image Basics.mp4 | 83.91 MB |
| 20 Step 7 Visualize Training and Metrics/001 Step 7 Visualize Training and Metrics.mp4 | 83.53 MB |
| 50 Flowers Classification CNN - Padding and Filter Optimization/001 Flowers Classification CNN - Padding and Filter Optimization.mp4 | 82.87 MB |
| 12 Popular Types of Activation Functions/001 Popular Types of Activation Functions.mp4 | 79.19 MB |
| 32 Step 4 - Compile Fit and Plot the Model/001 Step 4 - Compile Fit and Plot the Model.mp4 | 78.17 MB |
| 56 VGG16 Transfer Learning Training Flowers Dataset/001 VGG16 Transfer Learning Training Flowers Dataset - part 1.mp4 | 76.67 MB |
| 24 Step 2 and 3 - EDA and Data Preparation/002 Step 2 and 3 - EDA and Data Preparation - Part 2.mp4 | 76.19 MB |
| 26 Step 5 - Compile Fit and Plot the Model/001 Step 5 - Compile Fit and Plot the Model.mp4 | 74.42 MB |
| 31 Step 3 - Defining the Model/001 Step 3 - Defining the Model.mp4 | 72.82 MB |
| 47 Flowers Classification CNN - Load Saved Model and Predict/001 Flowers Classification CNN - Load Saved Model and Predict.mp4 | 69.87 MB |
| 49 Flowers Classification CNN - Dropout Regularization/001 Flowers Classification CNN - Dropout Regularization.mp4 | 69.36 MB |
| 24 Step 2 and 3 - EDA and Data Preparation/001 Step 2 and 3 - EDA and Data Preparation - Part 1.mp4 | 69.1 MB |
| 36 Basic Image Processing using Keras Functions/002 Basic Image Processing using Keras Functions - Part 2.mp4 | 65.45 MB |
| 25 Step 4 - Defining the model/001 Step 4 - Defining the model.mp4 | 65.42 MB |
| 18 Step 4 Defining the Keras Model/002 Step 4 Defining the Keras Model - Part 2.mp4 | 64.54 MB |
| 43 Flowers Classification CNN - Create Test and Train Folders/001 Flowers Classification CNN - Create Test and Train Folders.mp4 | 63.93 MB |
| 05 Python Basics/001 Python Basics - Assignment.mp4 | 63.43 MB |
| 10 Basic Structure of Artificial Neuron and Neural Network/001 Basic Structure of Artificial Neuron and Neural Network.mp4 | 63 MB |
| 36 Basic Image Processing using Keras Functions/001 Basic Image Processing using Keras Functions - Part 1.mp4 | 62.65 MB |
| 08 Pandas Basics/001 Pandas Basics - Part 1.mp4 | 58.6 MB |
| 51 Flowers Classification CNN - Augmentation Optimization/001 Flowers Classification CNN - Augmentation Optimization.mp4 | 58.59 MB |
| 18 Step 4 Defining the Keras Model/001 Step 4 Defining the Keras Model - Part 1.mp4 | 58.17 MB |
| 05 Python Basics/005 Python Basics - Dictionary and Functions - part 1.mp4 | 53.6 MB |