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TORRENT DETAILS
2023 Python For Deep Learning And Artificial Intelligence
TORRENT SUMMARY
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This comprehensive course covers the latest advancements in deep learning and artificial intelligence using Python. Designed for both beginner and advanced students, this course teaches you the foundational concepts and practical skills necessary to build and deploy deep learning models.
Module 1: Introduction to Python and Deep Learning
Overview of Python programming language
Introduction to deep learning and neural networks
Module 2: Neural Network Fundamentals
Understanding activation functions, loss functions, and optimization techniques
Overview of supervised and unsupervised learning
Module 3: Building a Neural Network from Scratch
Hands-on coding exercise to build a simple neural network from scratch using Python
Module 4: TensorFlow 2.0 for Deep Learning
Overview of TensorFlow 2.0 and its features for deep learning
Hands-on coding exercises to implement deep learning models using TensorFlow
Module 5: Advanced Neural Network Architectures
Study of different neural network architectures such as feedforward, recurrent, and convolutional networks
Hands-on coding exercises to implement advanced neural network models
Module 6: Convolutional Neural Networks (CNNs)
Overview of convolutional neural networks and their applications
Hands-on coding exercises to implement CNNs for image classification and object detection tasks
Overview of recurrent neural networks and their applications
Hands-on coding exercises to implement RNNs for sequential data such as time series and natural language processing
By the end of this course, you will have a strong understanding of deep learning and its applications in AI, and the ability to build and deploy deep learning models using Python and TensorFlow 2.0. This course will be a valuable asset for anyone looking to pursue a career in AI or simply expand their knowledge in this exciting field.
Who this course is for:
Data scientists, analysts, and engineers who want to expand their knowledge and skills in machine learning.
Developers and programmers who want to learn how to build and deploy machine learning models in a production environment.
Researchers and academics who want to understand the latest developments and applications of machine learning.
Business professionals and managers who want to learn how to apply machine learning to solve real-world problems in their organizations.
Students and recent graduates who want to gain a solid foundation in machine learning and pursue a career in data science or artificial intelligence.
Anyone who is curious about machine learning and wants to learn more about its applications and how it is used in the industry.
Requirements
Basic understanding of programming concepts and mathematics
A laptop or a computer with an internet connection
A willingness to learn and explore the exciting field of deep learning and artificial intelligence
Last Updated 7/2023
VISITOR COMMENTS (0 )
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TutsNode.net.txt
63 B
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/1. Course Setup/1. Jupyter Notebook Introduction.mp4
103.1 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/1. Course Setup/1.1 python-for-deep-learning-and-ai.zip
74.7 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/10. Flowers Classification with Transfer Learning and CNN/1. Transfer Learning Introduction.mp4
57.4 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/10. Flowers Classification with Transfer Learning and CNN/13. Make CNN Model with VGG16 Transfer Learning.mp4
63.9 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/10. Flowers Classification with Transfer Learning and CNN/15. Train Any Model for Transfer Learning.mp4
63.3 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/10. Flowers Classification with Transfer Learning and CNN/17. Online Prediction of Flowers Classes.mp4
96.9 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/10. Flowers Classification with Transfer Learning and CNN/2. Load Flowers Dataset for Classification.mp4
68 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/10. Flowers Classification with Transfer Learning and CNN/7. How to Calculate Number of Parameters in CNN.mp4
63.8 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/11. Introduction to NLP/3. Overview of NLP Tools.mp4
64.5 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/2. Python for Deep Learning/10. Seaborn Introduction Part 2.mp4
59.7 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/2. Python for Deep Learning/7. Matplotlib Introduction Part 1.mp4
64.8 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/2. Python for Deep Learning/8. Matplotlib Introduction Part 2.mp4
70.1 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/3. Introduction to Machine Learning/11. Code Along in Python Part 2.mp4
59.1 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/3. Introduction to Machine Learning/13. Code Along in Python Part 4.mp4
66.7 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/5. End to End Deep Learning Project/10. Data Visualization Part 2.mp4
107.3 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/5. End to End Deep Learning Project/14. Neural Network Model Building.mp4
60.9 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/5. End to End Deep Learning Project/16. Model Training.mp4
56.3 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/5. End to End Deep Learning Project/5. What is Back Propagation.mp4
79.4 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/5. End to End Deep Learning Project/7. Steps to Build Neural Network.mp4
64.1 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/6. Introduction to Computer Vision with Deep Learning/3. Fashion MNIST Dataset Download.mp4
63.2 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/6. Introduction to Computer Vision with Deep Learning/4. Fashion MNIST Dataset Analysis.mp4
87.8 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/6. Introduction to Computer Vision with Deep Learning/7. Model Summary and Training.mp4
65 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/6. Introduction to Computer Vision with Deep Learning/8. Discovering Overfitting - Early Stopping.mp4
77.5 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/7. Introduction to Convolutional Neural Networks [Theory and Intuitions]/1. What is Convolutional Neural Network.mp4
64.2 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/7. Introduction to Convolutional Neural Networks [Theory and Intuitions]/10. LeNet-5 Architecture Explained.mp4
71.1 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/7. Introduction to Convolutional Neural Networks [Theory and Intuitions]/11. AlexNet Architecture Explained.mp4
98.7 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/7. Introduction to Convolutional Neural Networks [Theory and Intuitions]/12. GoogLeNet (Inception V1) Architecture Explained.mp4
68.4 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/7. Introduction to Convolutional Neural Networks [Theory and Intuitions]/13. RestNet Architecture Explained.mp4
56.8 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/7. Introduction to Convolutional Neural Networks [Theory and Intuitions]/14. MobileNet Architecture Explained.mp4
121.3 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/7. Introduction to Convolutional Neural Networks [Theory and Intuitions]/15. EfficientNet Architecture Explained.mp4
104.3 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/7. Introduction to Convolutional Neural Networks [Theory and Intuitions]/2. Working Principle of CNN.mp4
80.2 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/7. Introduction to Convolutional Neural Networks [Theory and Intuitions]/3. Convolutional Filters.mp4
114 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/7. Introduction to Convolutional Neural Networks [Theory and Intuitions]/4. Feature Maps.mp4
66.9 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/7. Introduction to Convolutional Neural Networks [Theory and Intuitions]/5. Padding and Strides.mp4
102.3 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/7. Introduction to Convolutional Neural Networks [Theory and Intuitions]/6. Pooling Layers.mp4
86.5 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/7. Introduction to Convolutional Neural Networks [Theory and Intuitions]/7. Activation Function.mp4
72.7 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/8. Horses vs Humans Classification with Simple CNN/11. CNN Parameter Calculations Part 3.mp4
61.4 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/8. Horses vs Humans Classification with Simple CNN/12. Model Training.mp4
58.9 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/8. Horses vs Humans Classification with Simple CNN/2. Introduction to TensorFlow Datasets (TFDS).mp4
74.6 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/8. Horses vs Humans Classification with Simple CNN/4. Download Humans or Horses Dataset Part 2.mp4
76 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/8. Horses vs Humans Classification with Simple CNN/5. Use of Image Data Generator.mp4
73.4 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/8. Horses vs Humans Classification with Simple CNN/6. Data Display in Subplots Matrix.mp4
89.2 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/8. Horses vs Humans Classification with Simple CNN/8. Building CNN Model.mp4
60.7 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/9. Building Cats and Dogs Classifier with Regularized CNN/12. Load Dataset for Baseline Classifier.mp4
82.9 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/9. Building Cats and Dogs Classifier with Regularized CNN/14. How to Calculate Size of Output Layers of CNN and MaxPool.mp4
61.3 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/9. Building Cats and Dogs Classifier with Regularized CNN/15. How to Calculate Number of Parameters in CNN and FCN.mp4
68.7 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/9. Building Cats and Dogs Classifier with Regularized CNN/21. Load Model and Do the Prediction.mp4
83.4 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/9. Building Cats and Dogs Classifier with Regularized CNN/5. Sample Data Load with ImageDataGenerator for Augmentation.mp4
71 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/9. Building Cats and Dogs Classifier with Regularized CNN/8. Other Types of Data Augmentation.mp4