[FreeCourseSite.com] Udemy - Deep Learning using Keras - Complete Compact Dummies Guide

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文件数目：81个文件
文件大小：5.49 GB
收录时间：2021-08-25
访问次数：8
相关内容：FreeCourseSite Udemy Deep Learning using Keras Complete Compact Dummies Guide

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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