[FreeCourseSite.com] Udemy - Autonomous Cars Deep Learning and Computer Vision in Python

 打开连接 复制链接 在线云播 种子下载
文件大小：7.36 GB
创建日期：2023-07-21
相关链接：FreeCourseSiteUdemyAutonomousCarsDeepLearningComputerVisionPython

文件列表188

  •  9. Artificial Neural Networks/10. Example 1 - Build Multi-layer perceptron for binary classification.mp4  384.19 MB
  •  8. Machine Learning Part 2/6. [Activity] Detecting Cars Using SVM - Part #2.mp4  204.08 MB
  •  11. Deep Learning and Tensorflow Part 2/8. [Activity] Build a CNN to Classify Traffic Siigns - part 2.mp4  175.33 MB
  •  6. Computer Vision Basics Part 3/11. Histogram of Oriented Gradients (HOG).mp4  169.49 MB
  •  4. Computer Vision Basics Part 1/9. [Activity] Convert RGB to HSV color spaces and mergesplit channels.mp4  166.92 MB
  •  9. Artificial Neural Networks/4. ANN Training and dataset split.mp4  151.3 MB
  •  11. Deep Learning and Tensorflow Part 2/7. [Activity] Build a CNN to Classify Traffic Signs.mp4  150.58 MB
  •  3. Python Crash Course [Optional]/7. Introduction to Seaborn.mp4  146.72 MB
  •  2. Introduction to Self-Driving Cars/1. A Brief History of Autonomous Vehicles.mp4  145.92 MB
  •  5. Computer Vision Basics Part 2/9. Hough transform theory.mp4  141.5 MB
  •  4. Computer Vision Basics Part 1/2. Humans vs. Computers Vision system.mp4  135.32 MB
  •  10. Deep Learning and Tensorflow Part 1/3. [Activity] Building a Logistic Classifier with Deep Learning and Keras.mp4  134.56 MB
  •  9. Artificial Neural Networks/1. Introduction What are Artificial Neural Networks and how do they learn.mp4  127.77 MB
  •  8. Machine Learning Part 2/5. Project Solution Detecting Cars Using SVM - Part #1.mp4  119.72 MB
  •  9. Artificial Neural Networks/2. Single Neuron Perceptron Model.mp4  119.67 MB
  •  4. Computer Vision Basics Part 1/1. What is computer vision and why is it important.mp4  118.76 MB
  •  5. Computer Vision Basics Part 2/11. Project Solution Hough transform to detect lane lines in an image.mp4  117.05 MB
  •  8. Machine Learning Part 2/7. [Activity] Project Solution Detecting Cars Using SVM - Part #3.mp4  116.83 MB
  •  4. Computer Vision Basics Part 1/8. Color Spaces.mp4  113.66 MB
  •  9. Artificial Neural Networks/6. Code to build a perceptron for binary classification.mp4  111.6 MB
  •  9. Artificial Neural Networks/8. Code to Train a perceptron for binary classification.mp4  110.23 MB
  •  7. Machine Learning Part 1/8. [Activity] Decision Trees In Action.mp4  103.65 MB
  •  9. Artificial Neural Networks/11. Example 2 - Build Multi-layer perceptron for binary classification.mp4  102.28 MB
  •  11. Deep Learning and Tensorflow Part 2/6. [Activity] Improving our CNN's Topology and with Max Pooling.mp4  102.24 MB
  •  5. Computer Vision Basics Part 2/2. [Activity] Code to perform rotation, translation and resizing.mp4  102.05 MB
  •  4. Computer Vision Basics Part 1/12. Edge Detection and Gradient Calculations (Sobel, Laplace and Canny).mp4  98.76 MB
  •  4. Computer Vision Basics Part 1/3. what is an image and how is it digitally stored.mp4  98.55 MB
  •  7. Machine Learning Part 1/1. What is Machine Learning.mp4  96.3 MB
  •  7. Machine Learning Part 1/6. [Activity] Logistic Regression In Action.mp4  93.02 MB
  •  6. Computer Vision Basics Part 3/3. Template Matching - Find a Truck.mp4  90.26 MB
  •  5. Computer Vision Basics Part 2/5. Image cropping dilation and erosion.mp4  87.77 MB
  •  4. Computer Vision Basics Part 1/4. [Activity] View colored image and convert RGB to Gray.mp4  86.13 MB
  •  3. Python Crash Course [Optional]/5. Introduction to Pandas.mp4  85.99 MB
  •  3. Python Crash Course [Optional]/6. Introduction to MatPlotLib.mp4  85.11 MB
  •  9. Artificial Neural Networks/7. Backpropagation Training.mp4  84.25 MB
  •  4. Computer Vision Basics Part 1/10. Convolutions - Sharpening and Blurring.mp4  84.09 MB
  •  11. Deep Learning and Tensorflow Part 2/3. [Activity] Classifying Images with a Simple CNN, Part 1.mp4  83.58 MB
  •  5. Computer Vision Basics Part 2/8. [Activity] Code to define the region of interest.mp4  80.31 MB
  •  6. Computer Vision Basics Part 3/1. Image Features and their importance for object detection.mp4  79 MB
  •  8. Machine Learning Part 2/2. [Activity] Naive Bayes in Action.mp4  78.78 MB
  •  5. Computer Vision Basics Part 2/6. [Activity] Code to perform Image cropping dilation and erosion.mp4  76.93 MB
  •  6. Computer Vision Basics Part 3/5. Corner detection – Harris.mp4  76.91 MB
  •  8. Machine Learning Part 2/1. Bayes Theorem and Naive Bayes.mp4  76.03 MB
  •  5. Computer Vision Basics Part 2/10. [Activity] Hough transform – practical example in python.mp4  75.83 MB
  •  5. Computer Vision Basics Part 2/1. Image Transformation - Rotations, Translation and Resizing.mp4  75.5 MB
  •  1. Environment Setup and Installation/1. Introduction.mp4  74.83 MB
  •  10. Deep Learning and Tensorflow Part 1/1. Intro to Deep Learning and Tensorflow.mp4  74.52 MB
  •  8. Machine Learning Part 2/4. [Activity] Support Vector Classifiers in Action.mp4  74.35 MB
  •  9. Artificial Neural Networks/9. Two and Multi-layer Perceptron ANN.mp4  71.05 MB
  •  11. Deep Learning and Tensorflow Part 2/1. Convolutional Neural Networks (CNN's).mp4  70.9 MB