Download Deep Learning CNN - Convolutional Neural Networks with Python Torrent

Torrent Contents Size: 3.9 GB

Deep Learning CNN - Convolutional Neural Networks with Python

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001. Convolution Revisited.mp4	MP4	27.2 MB
001. Course Overview.mp4	MP4	48.8 MB
001. Example Setup.mp4	MP4	23.7 MB
001. Gray-Scale Images.mp4	MP4	37.2 MB
001. Image Classification Revisited.mp4	MP4	20.5 MB
001. Introduction to Object Detection.mp4	MP4	35.7 MB
001. Introduction to TensorFlow.mp4	MP4	29.5 MB
001. LeNet.mp4	MP4	21.7 MB
001. Neuron and Perceptron.mp4	MP4	44.5 MB
001. Problem Setup.mp4	MP4	112.8 MB
001. What Is Transfer learning.mp4	MP4	26.4 MB
002. Classification Pipeline.mp4	MP4	43.9 MB
002. DNN Architecture.mp4	MP4	27.3 MB
002. FashionMNIST Example Plan Neural Network.mp4	MP4	89.4 MB
002. Gray-Scale Images Quiz.mp4	MP4	4.2 MB
002. Implementation TensorFlow Hub.mp4	MP4	42.6 MB
002. Implementing Convolution in Python Revisited.mp4	MP4	25.6 MB
002. Introduction to Instructor.mp4	MP4	13.7 MB
002. LeNet Quiz.mp4	MP4	6.2 MB
002. Project Implementation.mp4	MP4	71.5 MB
002. Sliding Window Object Localization.mp4	MP4	34.2 MB
002. Why Derivatives.mp4	MP4	38.9 MB
002. Why Transfer Learning.mp4	MP4	39.1 MB
003. Classification Pipeline Quiz.mp4	MP4	4.2 MB
003. DNN Architecture Quiz.mp4	MP4	5.8 MB
003. Face Verification Activity.mp4	MP4	4.6 MB
003. FashionMNIST Example CNN.mp4	MP4	95.3 MB
003. Gray-Scale Images Solution.mp4	MP4	4.9 MB
003. ImageNet Challenge.mp4	MP4	42.6 MB
003. LeNet Solution.mp4	MP4	8.7 MB
003. Sliding Window Efficient Implementation.mp4	MP4	27.2 MB
003. Thank You and Conclusion.mp4	MP4	12.3 MB
003. Why CNN.mp4	MP4	82.8 MB
003. Why Convolution.mp4	MP4	22 MB
003. Why Derivatives Quiz.mp4	MP4	5.4 MB
004. AlexNet.mp4	MP4	32.3 MB
004. Classification Pipeline Solution.mp4	MP4	5.2 MB
004. DNN Architecture Solution.mp4	MP4	7.1 MB
004. Filters Padding Strides.mp4	MP4	27.9 MB
004. Focus of the Course.mp4	MP4	21.9 MB
004. Introduction to TensorFlow Activity.mp4	MP4	4.9 MB
004. Practical Tips.mp4	MP4	22.7 MB
004. RGB Images.mp4	MP4	30.4 MB
004. Why Derivatives Solution.mp4	MP4	11 MB
004. YOLO Introduction.mp4	MP4	34.7 MB
005. FeedForward FullyConnected MLP.mp4	MP4	16.7 MB
005. Padding Image.mp4	MP4	30.9 MB
005. Project in TensorFlow.mp4	MP4	149.7 MB
005. RGB Images Quiz.mp4	MP4	4.6 MB
005. Sliding Window Implementation.mp4	MP4	25 MB
005. VGG.mp4	MP4	19 MB
005. What Is Chain Rule.mp4	MP4	29.5 MB
005. YOLO Training Data Generation.mp4	MP4	27 MB
006. Applying Chain Rule.mp4	MP4	38.5 MB
006. Calculating Number of Weights of DNN.mp4	MP4	22.4 MB
006. InceptionNet.mp4	MP4	30 MB
006. Pooling Tensors.mp4	MP4	22.4 MB
006. RGB Images Solution.mp4	MP4	5 MB
006. Shift Scale Rotation Invariance.mp4	MP4	47 MB
006. Transfer Learning Activity.mp4	MP4	5 MB
006. YOLO Anchor Boxes.mp4	MP4	43.6 MB
007. CNN Example.mp4	MP4	23 MB
007. Calculating Number of Weights of DNN Quiz.mp4	MP4	4.5 MB
007. GoogLeNet.mp4	MP4	18.4 MB
007. Gradients of MaxPooling Layer.mp4	MP4	33.9 MB
007. Reading and Showing Images in Python.mp4	MP4	37.8 MB
007. Shift Scale Rotation Invariance Exercise.mp4	MP4	58.6 MB
007. YOLO Algorithm.mp4	MP4	29.5 MB
008. Calculating Number of Weights of DNN Solution.mp4	MP4	7.1 MB
008. Convolution and Pooling Details.mp4	MP4	27 MB
008. Gradients of MaxPooling Layer Quiz.mp4	MP4	5.8 MB
008. Person Detection.mp4	MP4	43.1 MB
008. Reading and Showing Images in Python Quiz.mp4	MP4	4.1 MB
008. Resnet.mp4	MP4	31.3 MB
008. YOLO Non-Maxima Suppression.mp4	MP4	32.6 MB
009. Classical CNNs Activity.mp4	MP4	4.9 MB
009. Gradients of MaxPooling Layer Solution.mp4	MP4	8.2 MB
009. HOG Features.mp4	MP4	38 MB
009. MaxPooling Exercise.mp4	MP4	11.7 MB
009. Number of Neurons Versus Number of Layers.mp4	MP4	25.1 MB
009. RCNN.mp4	MP4	12.4 MB
009. Reading and Showing Images in Python Solution.mp4	MP4	4.4 MB
010. Converting an Image to Grayscale in Python.mp4	MP4	29.9 MB
010. Discriminative Versus Generative Learning.mp4	MP4	22.6 MB
010. Gradients of Convolutional Layer.mp4	MP4	38 MB
010. HOG Features Exercise.mp4	MP4	28.6 MB
010. NonVectorized Implementations of Conv2d and Pool2d.mp4	MP4	69.2 MB
010. YOLO Activity.mp4	MP4	5.3 MB
011. Converting an Image to Grayscale in Python Quiz.mp4	MP4	4.4 MB
011. Deep Neural Network Architecture Activity.mp4	MP4	7.9 MB
011. Extending to Multiple Filters.mp4	MP4	16 MB
011. Hand Engineering Versus CNNs.mp4	MP4	30.1 MB
011. Universal Approximation Theorem.mp4	MP4	31.4 MB
012. Converting an Image to Grayscale in Python Solution.mp4	MP4	5.4 MB
012. Extending to Multiple Layers.mp4	MP4	27.4 MB
012. Object Detection Activity.mp4	MP4	18.5 MB
012. Why Depth.mp4	MP4	12.8 MB
013. Decision Boundary in DNN.mp4	MP4	22.1 MB
013. Extending to Multiple Layers Quiz.mp4	MP4	7.8 MB
013. Image Formation.mp4	MP4	19.4 MB
014. Decision Boundary in DNN Quiz.mp4	MP4	6 MB
014. Extending to Multiple Layers Solution.mp4	MP4	26.1 MB
014. Image Formation Quiz.mp4	MP4	4.4 MB
015. Decision Boundary in DNN Solution.mp4	MP4	12.9 MB
015. Image Formation Solution.mp4	MP4	4.5 MB
015. Implementation in NumPy ForwardPass.mp4	MP4	30.7 MB
016. BiasTerm.mp4	MP4	28.8 MB
016. Image Blurring 1.mp4	MP4	45.6 MB
016. Implementation in NumPy BackwardPass 1.mp4	MP4	25 MB
017. BiasTerm Quiz.mp4	MP4	4.5 MB
017. Image Blurring 1 Quiz.mp4	MP4	5.1 MB
017. Implementation in NumPy BackwardPass 2.mp4	MP4	17.1 MB
018. BiasTerm Solution.mp4	MP4	5.5 MB
018. Image Blurring 1 Solution.mp4	MP4	4.5 MB
018. Implementation in NumPy BackwardPass 3.mp4	MP4	32.6 MB
019. Activation Function.mp4	MP4	30.4 MB
019. Image Blurring 2.mp4	MP4	39.1 MB
019. Implementation in NumPy BackwardPass 4.mp4	MP4	49.6 MB
020. Activation Function Quiz.mp4	MP4	4.7 MB
020. Image Blurring 2 Quiz.mp4	MP4	4.4 MB
020. Implementation in NumPy BackwardPass 5.mp4	MP4	80.9 MB
021. Activation Function Solution.mp4	MP4	6.3 MB
021. Gradient Descent in CNNs Activity.mp4	MP4	7.8 MB
021. Image Blurring 2 Solution.mp4	MP4	5.3 MB
022. DNN Training Parameters.mp4	MP4	37.2 MB
022. General Image Filtering.mp4	MP4	19.2 MB
023. Convolution.mp4	MP4	22.8 MB
023. DNN Training Parameters Quiz.mp4	MP4	4.6 MB
024. DNN Training Parameters Solution.mp4	MP4	4.9 MB
024. Edge Detection.mp4	MP4	29.2 MB
025. Gradient Descent.mp4	MP4	29 MB
025. Image Sharpening.mp4	MP4	19.6 MB
026. Backpropagation.mp4	MP4	40.3 MB
026. Implementation of Image Blurring Edge Detection Image Sharpening in Python.mp4	MP4	65 MB
027. Parametric Shape Detection.mp4	MP4	34.2 MB
027. Training DNN Animation.mp4	MP4	22.4 MB
028. Image Processing.mp4	MP4	15.1 MB
028. Weight Initialization.mp4	MP4	45 MB
029. Image Processing Activity.mp4	MP4	10.8 MB
029. Weight Initialization Quiz.mp4	MP4	4.6 MB
030. Image Processing Activity Solution.mp4	MP4	44.6 MB
030. Weight Initialization Solution.mp4	MP4	5.6 MB
031. Batch MiniBatch Stochastic Gradient Descent.mp4	MP4	34.2 MB
032. Batch Normalization.mp4	MP4	22 MB
033. Rprop and Momentum.mp4	MP4	58 MB
034. Rprop and Momentum Quiz.mp4	MP4	6 MB
035. Rprop and Momentum Solution.mp4	MP4	6.5 MB
036. Convergence Animation.mp4	MP4	32.2 MB
037. DropOut, Early Stopping and Hyperparameters.mp4	MP4	51.1 MB
038. DropOut, Early Stopping and Hyperparameters Quiz.mp4	MP4	5.8 MB
039. DropOut, Early Stopping and Hyperparameters Solution.mp4	MP4	8.5 MB
Bonus Resources.txt	TXT	409.6 B
Get Bonus Downloads Here.url	URL	204.8 B

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Deep Learning CNN - Convolutional Neural Networks with Python

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