2023 Python for Deep Learning and Artificial Intelligence
Language: English | Size:6.86 GB
Genre:eLearning
Files Included :
1 Jupyter Notebook Introduction.mp4 (103.08 MB)
MP4
1 1 python-for-deep-learning-and-ai.zip (74.67 MB)
ZIP
1 Transfer Learning Introduction.mp4 (57.43 MB)
MP4
10 Train Model with TFDS Data Without Saving Locally Part 2.mp4 (38.45 MB)
MP4
11 import VGG16 from Keras.mp4 (51.02 MB)
MP4
12 Data Augmentation for Training.mp4 (25.63 MB)
MP4
13 Make CNN Model with VGG16 Transfer Learning.mp4 (63.92 MB)
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14 Model Training for Better Accuracy.mp4 (23.35 MB)
MP4
15 Train Any Model for Transfer Learning.mp4 (63.27 MB)
MP4
16 Save and Load Model with Class Names.mp4 (40.38 MB)
MP4
17 Online Prediction of Flowers Classes.mp4 (96.93 MB)
MP4
2 Load Flowers Dataset for Classification.mp4 (67.98 MB)
MP4
3 Download Flowers Data.mp4 (50 MB)
MP4
4 Flowers Data Visualization.mp4 (48.69 MB)
MP4
5 Preparing Data with Image Data Generator.mp4 (51.15 MB)
MP4
6 Baseline CNN Model Building.mp4 (46.36 MB)
MP4
7 How to Calculate Number of Parameters in CNN.mp4 (63.81 MB)
MP4
8 Baseline CNN Model Training.mp4 (46.34 MB)
MP4
9 Train Model with TFDS Data Without Saving Locally Part 1.mp4 (41.3 MB)
MP4
1 Introduction to NLP.mp4 (22.55 MB)
MP4
10 Pair Plot.mp4 (41.94 MB)
MP4
11 Train Test Split.mp4 (8.74 MB)
MP4
12 TF-IDF Vectorization.mp4 (34.71 MB)
MP4
13 Model Evaluation and Prediction on Real Data.mp4 (22.26 MB)
MP4
14 Model Load and Store.mp4 (22.07 MB)
MP4
2 What are Key NLP Techniques.mp4 (39.58 MB)
MP4
3 Overview of NLP Tools.mp4 (64.53 MB)
MP4
4 Common Challenges in NLP.mp4 (19.13 MB)
MP4
5 Bag of Words - The Simples Word Embedding Technique.mp4 (27.31 MB)
MP4
6 Term Frequency - Inverse Document Frequency (TF-IDF).mp4 (20.02 MB)
MP4
7 Load Spam Dataset.mp4 (18.56 MB)
MP4
8 Text Preprocessing.mp4 (45.77 MB)
MP4
9 Feature Engineering.mp4 (33.7 MB)
MP4
1 Python Introduction Part 1.mp4 (33.55 MB)
MP4
10 Seaborn Introduction Part 2.mp4 (59.72 MB)
MP4
2 Python Introduction Part 2.mp4 (37.83 MB)
MP4
3 Python Introduction Part 3.mp4 (34.65 MB)
MP4
4 Numpy Introduction Part 1.mp4 (40.09 MB)
MP4
5 Numpy Introduction Part 2.mp4 (36.3 MB)
MP4
6 Pandas Introduction.mp4 (49.56 MB)
MP4
7 Matplotlib Introduction Part 1.mp4 (64.76 MB)
MP4
8 Matplotlib Introduction Part 2.mp4 (70.1 MB)
MP4
9 Seaborn Introduction Part 1.mp4 (30.58 MB)
MP4
1 Classical Machine Learning Introduction.mp4 (31.98 MB)
MP4
10 Code Along in Python Part 1.mp4 (34.36 MB)
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11 Code Along in Python Part 2.mp4 (59.15 MB)
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12 Code Along in Python Part 3.mp4 (44.1 MB)
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13 Code Along in Python Part 4.mp4 (66.67 MB)
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2 Logistic Regression.mp4 (34.43 MB)
MP4
3 Support Vector Machine - SVM.mp4 (37.66 MB)
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4 Decision Tree.mp4 (25.51 MB)
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5 Random Forest.mp4 (17.48 MB)
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6 L2 Regularization.mp4 (38.3 MB)
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7 L1 Regularization.mp4 (18.74 MB)
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8 Model Evaluation.mp4 (31.51 MB)
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9 ROC-AUC Curve.mp4 (13.46 MB)
MP4
1 Machine Learning Process Introduction.mp4 (37.98 MB)
MP4
10 Deep Learning Tools.mp4 (31.78 MB)
MP4
11 MLops with AWS.mp4 (21.64 MB)
MP4
2 Types of Machine Learning.mp4 (19.29 MB)
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3 Supervised Learning.mp4 (25.54 MB)
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4 Unsupervised Learning.mp4 (43.24 MB)
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5 Reinforcement Learning.mp4 (16.27 MB)
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6 What is Deep Learning and ML.mp4 (30.21 MB)
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7 What is Neural Network.mp4 (33.22 MB)
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8 How Deep Learning Process Works.mp4 (23.95 MB)
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9 Application of Deep Learning.mp4 (28.61 MB)
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1 What is Neuron.mp4 (20.85 MB)
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10 Data Visualization Part 2.mp4 (107.25 MB)
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11 Data Preprocessing.mp4 (36.38 MB)
MP4
12 Import Neural Networks APIs.mp4 (37.05 MB)
MP4
13 How to Get Input Shape and Class Weights.mp4 (21.19 MB)
MP4
14 Neural Network Model Building.mp4 (60.87 MB)
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15 Model Summary Explanation.mp4 (48.8 MB)
MP4
16 Model Training.mp4 (56.27 MB)
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17 Model Evaluation.mp4 (16.11 MB)
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18 Model Save and Load.mp4 (23.62 MB)
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19 Prediction on Real-Life Data.mp4 (50.94 MB)
MP4
2 Multi-Layer Perceptron.mp4 (55.11 MB)
MP4
3 Shallow vs Deep Neural Networks.mp4 (13.85 MB)
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4 Activation Function.mp4 (40.33 MB)
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5 What is Back Propagation.mp4 (79.4 MB)
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6 Optimizers in Deep Learning.mp4 (52.07 MB)
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7 Steps to Build Neural Network.mp4 (64.08 MB)
MP4
8 Customer Churn Dataset Loading.mp4 (26 MB)
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9 Data Visualization Part 1.mp4 (50.22 MB)
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1 Introduction to Computer Vision with Deep Learning.mp4 (42.97 MB)
MP4
2 5 Steps of Computer Vision Model Building.mp4 (27.68 MB)
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3 Fashion MNIST Dataset Download.mp4 (63.2 MB)
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4 Fashion MNIST Dataset Analysis.mp4 (87.76 MB)
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5 Train Test Split for Data.mp4 (25.82 MB)
MP4
6 Deep Neural Network Model Building.mp4 (36.53 MB)
MP4
7 Model Summary and Training.mp4 (64.97 MB)
MP4
8 Discovering Overfitting - Early Stopping.mp4 (77.54 MB)
MP4
9 Model Save and Load for Prediction.mp4 (44.68 MB)
MP4
1 What is Convolutional Neural Network.mp4 (64.2 MB)
MP4
10 LeNet-5 Architecture Explained.mp4 (71.12 MB)
MP4
11 AlexNet Architecture Explained.mp4 (98.72 MB)
MP4
12 GoogLeNet (Inception V1) Architecture Explained.mp4 (68.39 MB)
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13 RestNet Architecture Explained.mp4 (56.84 MB)
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14 MobileNet Architecture Explained.mp4 (121.33 MB)
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15 EfficientNet Architecture Explained.mp4 (104.3 MB)
MP4
2 Working Principle of CNN.mp4 (80.21 MB)
MP4
3 Convolutional Filters.mp4 (114.04 MB)
MP4
4 Feature Maps.mp4 (66.88 MB)
MP4
5 Padding and Strides.mp4 (102.33 MB)
MP4
6 Pooling Layers.mp4 (86.51 MB)
MP4
7 Activation Function.mp4 (72.66 MB)
MP4
8 Dropout.mp4 (32.36 MB)
MP4
9 CNN Architectures Comparison.mp4 (55.56 MB)
MP4
1 Overview of Image Classification using CNNs.mp4 (44.06 MB)
MP4
10 CNN Parameter Calculations Part 2.mp4 (43.15 MB)
MP4
11 CNN Parameter Calculations Part 3.mp4 (61.42 MB)
MP4
12 Model Training.mp4 (58.94 MB)
MP4
13 Model Load and Save.mp4 (32.08 MB)
MP4
14 Image Class Prediction.mp4 (52.31 MB)
MP4
2 Introduction to TensorFlow Datasets (TFDS).mp4 (74.65 MB)
MP4
3 Download Humans or Horses Dataset Part 1.mp4 (56.15 MB)
MP4
4 Download Humans or Horses Dataset Part 2.mp4 (76.02 MB)
MP4
5 Use of Image Data Generator.mp4 (73.36 MB)
MP4
6 Data Display in Subplots Matrix.mp4 (89.22 MB)
MP4
7 CNN Introduction.mp4 (53.03 MB)
MP4
8 Building CNN Model.mp4 (60.68 MB)
MP4
9 CNN Parameter Calculation.mp4 (44.78 MB)
MP4
1 What is Overfitting.mp4 (42.76 MB)
MP4
10 TensorFlow TFDS and Cats vs Dogs Data Download.mp4 (42.39 MB)
MP4
11 Store Data in Local Directory.mp4 (53.07 MB)
MP4
12 Load Dataset for Baseline Classifier.mp4 (82.94 MB)
MP4
13 Building Baseline CNN Classifier.mp4 (41.62 MB)
MP4
14 How to Calculate Size of Output Layers of CNN and MaxPool.mp4 (61.32 MB)
MP4
15 How to Calculate Number of Parameters in CNN and FCN.mp4 (68.68 MB)
MP4
16 Model Training and Layers Analysis.mp4 (39.91 MB)
MP4
17 Model Training and Validation Accuracy Plot.mp4 (25.97 MB)
MP4
18 Building Dataset for Regularized CNN.mp4 (17.5 MB)
MP4
19 Regularized CNN Model Building and Training.mp4 (42.45 MB)
MP4
2 L1, L2 and Early Stopping Regularization.mp4 (44.8 MB)
MP4
20 Training Log Analysis.mp4 (25.54 MB)
MP4
21 Load Model and Do the Prediction.mp4 (83.4 MB)
MP4
22 CNN Model Visualization.mp4 (14.31 MB)
MP4
3 How Dropout and Batch Normalization Prevents Overfitting.mp4 (42.73 MB)
MP4
4 What is Data Augmentation [Theory].mp4 (48.57 MB)
MP4
5 Sample Data Load with ImageDataGenerator for Augmentation.mp4 (71.05 MB)
MP4
6 Random Rotation Augmentation.mp4 (55.82 MB)
MP4
7 Random Shift Augmentation.mp4 (45.94 MB)
MP4
8 Other Types of Data Augmentation.mp4 (73.34 MB)
MP4
9 All Types of Augmentation at Once.mp4 (32.66 MB)
MP4
MP4
1 1 python-for-deep-learning-and-ai.zip (74.67 MB)
ZIP
1 Transfer Learning Introduction.mp4 (57.43 MB)
MP4
10 Train Model with TFDS Data Without Saving Locally Part 2.mp4 (38.45 MB)
MP4
11 import VGG16 from Keras.mp4 (51.02 MB)
MP4
12 Data Augmentation for Training.mp4 (25.63 MB)
MP4
13 Make CNN Model with VGG16 Transfer Learning.mp4 (63.92 MB)
MP4
14 Model Training for Better Accuracy.mp4 (23.35 MB)
MP4
15 Train Any Model for Transfer Learning.mp4 (63.27 MB)
MP4
16 Save and Load Model with Class Names.mp4 (40.38 MB)
MP4
17 Online Prediction of Flowers Classes.mp4 (96.93 MB)
MP4
2 Load Flowers Dataset for Classification.mp4 (67.98 MB)
MP4
3 Download Flowers Data.mp4 (50 MB)
MP4
4 Flowers Data Visualization.mp4 (48.69 MB)
MP4
5 Preparing Data with Image Data Generator.mp4 (51.15 MB)
MP4
6 Baseline CNN Model Building.mp4 (46.36 MB)
MP4
7 How to Calculate Number of Parameters in CNN.mp4 (63.81 MB)
MP4
8 Baseline CNN Model Training.mp4 (46.34 MB)
MP4
9 Train Model with TFDS Data Without Saving Locally Part 1.mp4 (41.3 MB)
MP4
1 Introduction to NLP.mp4 (22.55 MB)
MP4
10 Pair Plot.mp4 (41.94 MB)
MP4
11 Train Test Split.mp4 (8.74 MB)
MP4
12 TF-IDF Vectorization.mp4 (34.71 MB)
MP4
13 Model Evaluation and Prediction on Real Data.mp4 (22.26 MB)
MP4
14 Model Load and Store.mp4 (22.07 MB)
MP4
2 What are Key NLP Techniques.mp4 (39.58 MB)
MP4
3 Overview of NLP Tools.mp4 (64.53 MB)
MP4
4 Common Challenges in NLP.mp4 (19.13 MB)
MP4
5 Bag of Words - The Simples Word Embedding Technique.mp4 (27.31 MB)
MP4
6 Term Frequency - Inverse Document Frequency (TF-IDF).mp4 (20.02 MB)
MP4
7 Load Spam Dataset.mp4 (18.56 MB)
MP4
8 Text Preprocessing.mp4 (45.77 MB)
MP4
9 Feature Engineering.mp4 (33.7 MB)
MP4
1 Python Introduction Part 1.mp4 (33.55 MB)
MP4
10 Seaborn Introduction Part 2.mp4 (59.72 MB)
MP4
2 Python Introduction Part 2.mp4 (37.83 MB)
MP4
3 Python Introduction Part 3.mp4 (34.65 MB)
MP4
4 Numpy Introduction Part 1.mp4 (40.09 MB)
MP4
5 Numpy Introduction Part 2.mp4 (36.3 MB)
MP4
6 Pandas Introduction.mp4 (49.56 MB)
MP4
7 Matplotlib Introduction Part 1.mp4 (64.76 MB)
MP4
8 Matplotlib Introduction Part 2.mp4 (70.1 MB)
MP4
9 Seaborn Introduction Part 1.mp4 (30.58 MB)
MP4
1 Classical Machine Learning Introduction.mp4 (31.98 MB)
MP4
10 Code Along in Python Part 1.mp4 (34.36 MB)
MP4
11 Code Along in Python Part 2.mp4 (59.15 MB)
MP4
12 Code Along in Python Part 3.mp4 (44.1 MB)
MP4
13 Code Along in Python Part 4.mp4 (66.67 MB)
MP4
2 Logistic Regression.mp4 (34.43 MB)
MP4
3 Support Vector Machine - SVM.mp4 (37.66 MB)
MP4
4 Decision Tree.mp4 (25.51 MB)
MP4
5 Random Forest.mp4 (17.48 MB)
MP4
6 L2 Regularization.mp4 (38.3 MB)
MP4
7 L1 Regularization.mp4 (18.74 MB)
MP4
8 Model Evaluation.mp4 (31.51 MB)
MP4
9 ROC-AUC Curve.mp4 (13.46 MB)
MP4
1 Machine Learning Process Introduction.mp4 (37.98 MB)
MP4
10 Deep Learning Tools.mp4 (31.78 MB)
MP4
11 MLops with AWS.mp4 (21.64 MB)
MP4
2 Types of Machine Learning.mp4 (19.29 MB)
MP4
3 Supervised Learning.mp4 (25.54 MB)
MP4
4 Unsupervised Learning.mp4 (43.24 MB)
MP4
5 Reinforcement Learning.mp4 (16.27 MB)
MP4
6 What is Deep Learning and ML.mp4 (30.21 MB)
MP4
7 What is Neural Network.mp4 (33.22 MB)
MP4
8 How Deep Learning Process Works.mp4 (23.95 MB)
MP4
9 Application of Deep Learning.mp4 (28.61 MB)
MP4
1 What is Neuron.mp4 (20.85 MB)
MP4
10 Data Visualization Part 2.mp4 (107.25 MB)
MP4
11 Data Preprocessing.mp4 (36.38 MB)
MP4
12 Import Neural Networks APIs.mp4 (37.05 MB)
MP4
13 How to Get Input Shape and Class Weights.mp4 (21.19 MB)
MP4
14 Neural Network Model Building.mp4 (60.87 MB)
MP4
15 Model Summary Explanation.mp4 (48.8 MB)
MP4
16 Model Training.mp4 (56.27 MB)
MP4
17 Model Evaluation.mp4 (16.11 MB)
MP4
18 Model Save and Load.mp4 (23.62 MB)
MP4
19 Prediction on Real-Life Data.mp4 (50.94 MB)
MP4
2 Multi-Layer Perceptron.mp4 (55.11 MB)
MP4
3 Shallow vs Deep Neural Networks.mp4 (13.85 MB)
MP4
4 Activation Function.mp4 (40.33 MB)
MP4
5 What is Back Propagation.mp4 (79.4 MB)
MP4
6 Optimizers in Deep Learning.mp4 (52.07 MB)
MP4
7 Steps to Build Neural Network.mp4 (64.08 MB)
MP4
8 Customer Churn Dataset Loading.mp4 (26 MB)
MP4
9 Data Visualization Part 1.mp4 (50.22 MB)
MP4
1 Introduction to Computer Vision with Deep Learning.mp4 (42.97 MB)
MP4
2 5 Steps of Computer Vision Model Building.mp4 (27.68 MB)
MP4
3 Fashion MNIST Dataset Download.mp4 (63.2 MB)
MP4
4 Fashion MNIST Dataset Analysis.mp4 (87.76 MB)
MP4
5 Train Test Split for Data.mp4 (25.82 MB)
MP4
6 Deep Neural Network Model Building.mp4 (36.53 MB)
MP4
7 Model Summary and Training.mp4 (64.97 MB)
MP4
8 Discovering Overfitting - Early Stopping.mp4 (77.54 MB)
MP4
9 Model Save and Load for Prediction.mp4 (44.68 MB)
MP4
1 What is Convolutional Neural Network.mp4 (64.2 MB)
MP4
10 LeNet-5 Architecture Explained.mp4 (71.12 MB)
MP4
11 AlexNet Architecture Explained.mp4 (98.72 MB)
MP4
12 GoogLeNet (Inception V1) Architecture Explained.mp4 (68.39 MB)
MP4
13 RestNet Architecture Explained.mp4 (56.84 MB)
MP4
14 MobileNet Architecture Explained.mp4 (121.33 MB)
MP4
15 EfficientNet Architecture Explained.mp4 (104.3 MB)
MP4
2 Working Principle of CNN.mp4 (80.21 MB)
MP4
3 Convolutional Filters.mp4 (114.04 MB)
MP4
4 Feature Maps.mp4 (66.88 MB)
MP4
5 Padding and Strides.mp4 (102.33 MB)
MP4
6 Pooling Layers.mp4 (86.51 MB)
MP4
7 Activation Function.mp4 (72.66 MB)
MP4
8 Dropout.mp4 (32.36 MB)
MP4
9 CNN Architectures Comparison.mp4 (55.56 MB)
MP4
1 Overview of Image Classification using CNNs.mp4 (44.06 MB)
MP4
10 CNN Parameter Calculations Part 2.mp4 (43.15 MB)
MP4
11 CNN Parameter Calculations Part 3.mp4 (61.42 MB)
MP4
12 Model Training.mp4 (58.94 MB)
MP4
13 Model Load and Save.mp4 (32.08 MB)
MP4
14 Image Class Prediction.mp4 (52.31 MB)
MP4
2 Introduction to TensorFlow Datasets (TFDS).mp4 (74.65 MB)
MP4
3 Download Humans or Horses Dataset Part 1.mp4 (56.15 MB)
MP4
4 Download Humans or Horses Dataset Part 2.mp4 (76.02 MB)
MP4
5 Use of Image Data Generator.mp4 (73.36 MB)
MP4
6 Data Display in Subplots Matrix.mp4 (89.22 MB)
MP4
7 CNN Introduction.mp4 (53.03 MB)
MP4
8 Building CNN Model.mp4 (60.68 MB)
MP4
9 CNN Parameter Calculation.mp4 (44.78 MB)
MP4
1 What is Overfitting.mp4 (42.76 MB)
MP4
10 TensorFlow TFDS and Cats vs Dogs Data Download.mp4 (42.39 MB)
MP4
11 Store Data in Local Directory.mp4 (53.07 MB)
MP4
12 Load Dataset for Baseline Classifier.mp4 (82.94 MB)
MP4
13 Building Baseline CNN Classifier.mp4 (41.62 MB)
MP4
14 How to Calculate Size of Output Layers of CNN and MaxPool.mp4 (61.32 MB)
MP4
15 How to Calculate Number of Parameters in CNN and FCN.mp4 (68.68 MB)
MP4
16 Model Training and Layers Analysis.mp4 (39.91 MB)
MP4
17 Model Training and Validation Accuracy Plot.mp4 (25.97 MB)
MP4
18 Building Dataset for Regularized CNN.mp4 (17.5 MB)
MP4
19 Regularized CNN Model Building and Training.mp4 (42.45 MB)
MP4
2 L1, L2 and Early Stopping Regularization.mp4 (44.8 MB)
MP4
20 Training Log Analysis.mp4 (25.54 MB)
MP4
21 Load Model and Do the Prediction.mp4 (83.4 MB)
MP4
22 CNN Model Visualization.mp4 (14.31 MB)
MP4
3 How Dropout and Batch Normalization Prevents Overfitting.mp4 (42.73 MB)
MP4
4 What is Data Augmentation [Theory].mp4 (48.57 MB)
MP4
5 Sample Data Load with ImageDataGenerator for Augmentation.mp4 (71.05 MB)
MP4
6 Random Rotation Augmentation.mp4 (55.82 MB)
MP4
7 Random Shift Augmentation.mp4 (45.94 MB)
MP4
8 Other Types of Data Augmentation.mp4 (73.34 MB)
MP4
9 All Types of Augmentation at Once.mp4 (32.66 MB)
MP4
2023 Python for Deep Learning and Artificial Intelligence.part1.rar
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2023 Python for Deep Learning and Artificial Intelligence.part1.rar
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