Deep Learning CNN - Convolutional Neural Networks with Python

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[ FreeCourseWeb.com ] Deep Learning CNN - Convolutional Neural Networks with Python
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      • Chapter 1 Introduction to the Course
      • 001. Course Overview.mp4 (48.8 MB)
      • 002. Introduction to Instructor.mp4 (13.7 MB)
      • 003. Why CNN.mp4 (82.8 MB)
      • 004. Focus of the Course.mp4 (21.9 MB)
      Chapter 10 YOLO
      • 001. Image Classification Revisited.mp4 (20.5 MB)
      • 002. Sliding Window Object Localization.mp4 (34.2 MB)
      • 003. Sliding Window Efficient Implementation.mp4 (27.2 MB)
      • 004. YOLO Introduction.mp4 (34.7 MB)
      • 005. YOLO Training Data Generation.mp4 (27.0 MB)
      • 006. YOLO Anchor Boxes.mp4 (43.6 MB)
      • 007. YOLO Algorithm.mp4 (29.5 MB)
      • 008. YOLO Non-Maxima Suppression.mp4 (32.6 MB)
      • 009. RCNN.mp4 (12.4 MB)
      • 010. YOLO Activity.mp4 (5.3 MB)
      Chapter 11 Face Verification
      • 001. Problem Setup.mp4 (30.0 MB)
      • 002. Project Implementation.mp4 (71.5 MB)
      • 003. Face Verification Activity.mp4 (4.6 MB)
      Chapter 12 Neural Style Transfer
      • 001. Problem Setup.mp4 (112.8 MB)
      • 002. Implementation TensorFlow Hub.mp4 (42.6 MB)
      • 003. Thank You and Conclusion.mp4 (12.3 MB)
      Chapter 2 Image Processing
      • 001. Gray-Scale Images.mp4 (37.2 MB)
      • 002. Gray-Scale Images Quiz.mp4 (4.2 MB)
      • 003. Gray-Scale Images Solution.mp4 (4.9 MB)
      • 004. RGB Images.mp4 (30.4 MB)
      • 005. RGB Images Quiz.mp4 (4.6 MB)
      • 006. RGB Images Solution.mp4 (5.0 MB)
      • 007. Reading and Showing Images in Python.mp4 (37.8 MB)
      • 008. Reading and Showing Images in Python Quiz.mp4 (4.1 MB)
      • 009. Reading and Showing Images in Python Solution.mp4 (4.4 MB)
      • 010. Converting an Image to Grayscale in Python.mp4 (29.9 MB)
      • 011. Converting an Image to Grayscale in Python Quiz.mp4 (4.4 MB)
      • 012. Converting an Image to Grayscale in Python Solution.mp4 (5.4 MB)
      • 013. Image Formation.mp4 (19.4 MB)
      • 014. Image Formation Quiz.mp4 (4.4 MB)
      • 015. Image Formation Solution.mp4 (4.5 MB)
      • 016. Image Blurring 1.mp4 (45.6 MB)
      • 017. Image Blurring 1 Quiz.mp4 (5.1 MB)
      • 018. Image Blurring 1 Solution.mp4 (4.5 MB)
      • 019. Image Blurring 2.mp4 (39.1 MB)
      • 020. Image Blurring 2 Quiz.mp4 (4.4 MB)
      • 021. Image Blurring 2 Solution.mp4 (5.3 MB)
      • 022. General Image Filtering.mp4 (19.2 MB)
      • 023. Convolution.mp4 (22.8 MB)
      • 024. Edge Detection.mp4 (29.2 MB)
      • 025. Image Sharpening.mp4 (19.6 MB)
      • 026. Implementation of Image Blurring Edge Detection Image Sharpening in Python.mp4 (65.0 MB)
      • 027. Parametric Shape Detection.mp4 (34.2 MB)
      • 028. Image Processing.mp4 (15.1 MB)
      • 029. Image Processing Activity.mp4 (10.8 MB)
      • 030. Image Processing Activity Solution.mp4 (44.6 MB)
      Chapter 3 Object Detection
      • 001. Introduction to Object Detection.mp4 (35.7 MB)
      • 002. Classification Pipeline.mp4 (43.9 MB)
      • 003. Classification Pipeline Quiz.mp4 (4.2 MB)
      • 004. Classification Pipeline Solution.mp4 (5.2 MB)
      • 005. Sliding Window Implementation.mp4 (25.0 MB)
      • 006. Shift Scale Rotation Invariance.mp4 (47.0 MB)
      • 007. Shift Scale Rotation Invariance Exercise.mp4 (58.6 MB)
      • 008. Person Detection.mp4 (43.1 MB)
      • 009. HOG Features.mp4 (38.0 MB)
      • 010. HOG Features Exercise.mp4 (28.6 MB)
      • 011. Hand Engineering Versus CNNs.mp4 (30.1 MB)
      • 012. Object Detection Activity.mp4 (18.5 MB)
      Chapter 4 Deep Neural Network Overview
      • 001. Neuron and Perceptron.mp4 (44.5 MB)
      • 002. DNN Architecture.mp4 (27.3 MB)
      • 003. DNN Architecture Quiz.mp4 (5.8 MB)
      • 004. DNN Architecture Solution.mp4 (7.1 MB)
      • 005. FeedForward FullyConnected MLP.mp4 (16.7 MB)
      • 006. Calculating Number of Weights of DNN.mp4 (22.4 MB)
      • 007. Calculating Number of Weights of DNN Quiz.mp4 (4.5 MB)
      • 008. Calculating Number of Weights of DNN Solution.mp4 (7.1 MB)
      • 009. Number of Neurons Versus Number of Layers.mp4 (25.1 MB)
      • 010. Discriminative Versus Generative Learning.mp4 (22.6 MB)
      • 011. Universal Approximation Theorem.mp4 (31.4 MB)
      • 012. Why Depth.mp4 (12.8 MB)
      • 013. Decision Boundary in DNN.mp4 (22.1 MB)
      • 014. Decision Boundary in DNN Quiz.mp4 (6.0 MB)
      • 015. Decision Boundary in DNN Solution.mp4 (12.9 MB)
      • 016. BiasTerm.mp4 (28.8 MB)
      • 017. BiasTerm Quiz.mp4 (4.5 MB)
      • 018. BiasTerm Solution.mp4 (5.5 MB)
      • 019. Activation Function.mp4 (30.4 MB)
      • 020. Activation Function Quiz.mp4 (4.7 MB)
      • 021. Activation Function Solution.mp4 (6.3 MB)
      • 022. DNN Training Parameters.mp4 (37.2 MB)
      • 023. DNN Training Parameters Quiz.mp4 (4.6 MB)
      • 024. DNN Training Parameters Solution.mp4 (4.9 MB)
      • 025. Gradient Descent.mp4 (29.0 MB)
      • 026. Backpropagation.mp4 (40.3 MB)
      • 027. Training DNN Animation.mp4 (22.4 MB)
      • 028. Weight Initialization.mp4 (45.0 MB)
      • 029. Weight Initialization Quiz.mp4 (4.6 MB)
      • 030. Weight Initialization Solution.mp4 (5.6 MB)
      • 031. Batch MiniBatch Stochastic Gradient Descent.mp4 (34.2 MB)
      • 032. Batch Normalization.mp4 (22.0 MB)
      • 033. Rprop and Momentum.mp4 (58.0 MB)
      • 034. Rprop and Momentum Quiz.mp4 (6.0 MB)
      • 035. Rprop and Momentum Solution.mp4 (6.5 MB)
      • 036. Convergence Animation.mp4 (32.2 MB)
      • 037. DropOut, Early Stopping and Hyperparameters.mp4 (51.1 MB)
      • 038. DropOut, Early Stopping and Hyperparameters Quiz.mp4 (5.8 MB)
      • 039. DropOut, Early Stopping and Hyperparameters Solution.mp4 (8.5 MB)
      Chapter 5 Deep Neural Network Architecture
      • 001. Convolution Revisited.mp4 (27.2 MB)
      • <

Description

Deep Learning CNN: Convolutional Neural Networks with Python



https://FreeCourseWeb.com

Released 08/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 15h 27m | Size: 3.94 GB

Learn Convolution Neural Networks using TensorFlow, CNN for Image Recognition, and CNN for Object Detection. Understand the concepts and methodologies of CNNs with respect to data science with live coding throughout

Video description
Learn Convolution Neural Networks using TensorFlow, CNN for Image Recognition, and CNN for Object Detection. Understand the concepts and methodologies of CNNs with respect to data science with live coding throughout.

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Deep Learning CNN - Convolutional Neural Networks with Python

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3.9 GB
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Deep Learning CNN - Convolutional Neural Networks with Python

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