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2023 Python for Deep Learning and Artificial Intelligence

2023 Python for Deep Learning and Artificial Intelligence

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7 GB
Seeders
5
Leechers
1
Files
98
Category
Other
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Description


Description



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



Module 7: Recurrent Neural Networks (RNNs) [Coming Soon]



   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

File list
  • 2023 Python for Deep Learning and Artificial Intelligence
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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 73.3 MB

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