CourseClub NET Coursera Introduction to Deep Learning | 70E9796992BCBB00F65F3672AE86EB335593F36E

CourseClub NET Coursera Introduction to Deep Learning

Name	[CourseClub.NET] Coursera - Introduction to Deep Learning	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	1.4 GB
Total Files	81
Last Seen	2025-05-31 23:43
Hash	70E9796992BCBB00F65F3672AE86EB335593F36E

/001.Specialization Promo/
001. Welcome to AML specialization!.mp4	14.3 MB
001. Welcome to AML specialization!.srt	4.8 KB
/002.Course intro/
002. Course intro.mp4	23.2 MB
002. Course intro.srt	9.0 KB
/003.Linear model as the simplest neural network/
003. Linear regression.mp4	37.5 MB
003. Linear regression.srt	13.7 KB
004. Linear classification.mp4	44.7 MB
004. Linear classification.srt	16.8 KB
005. Gradient descent.mp4	19.9 MB
005. Gradient descent.srt	7.6 KB
/004.Regularization in machine learning/
006. Overfitting problem and model validation.mp4	27.7 MB
006. Overfitting problem and model validation.srt	10.0 KB
007. Model regularization.mp4	20.8 MB
007. Model regularization.srt	7.6 KB
/005.Stochastic methods for optimization/
008. Stochastic gradient descent.mp4	22.1 MB
008. Stochastic gradient descent.srt	8.0 KB
009. Gradient descent extensions.mp4	38.3 MB
009. Gradient descent extensions.srt	13.7 KB
/006.The simplest neural network MLP/
010. Multilayer perceptron (MLP).mp4	46.8 MB
010. Multilayer perceptron (MLP).srt	19.0 KB
011. Chain rule.mp4	27.9 MB
011. Chain rule.srt	10.2 KB
012. Backpropagation.mp4	33.2 MB
012. Backpropagation.srt	11.6 KB
/007.Matrix derivatives/
013. Efficient MLP implementation.mp4	49.4 MB
013. Efficient MLP implementation.srt	17.0 KB
014. Other matrix derivatives.mp4	22.5 MB
014. Other matrix derivatives.srt	8.8 KB
/008.TensorFlow framework/
015. What is TensorFlow.mp4	41.4 MB
015. What is TensorFlow.srt	15.0 KB
016. Our first model in TensorFlow.mp4	38.6 MB
016. Our first model in TensorFlow.srt	14.2 KB
/009.Philosophy of deep learning/
017. What Deep Learning is and is not.mp4	30.9 MB
017. What Deep Learning is and is not.srt	14.2 KB
018. Deep learning as a language.mp4	25.8 MB
018. Deep learning as a language.srt	12.2 KB
/010.Introduction to CNN/
019. Motivation for convolutional layers.mp4	43.4 MB
019. Motivation for convolutional layers.srt	16.4 KB
020. Our first CNN architecture.mp4	44.6 MB
020. Our first CNN architecture.srt	13.6 KB
/011.Modern CNNs/
021. Training tips and tricks for deep CNNs.mp4	60.7 MB
021. Training tips and tricks for deep CNNs.srt	18.6 KB
022. Overview of modern CNN architectures.mp4	33.8 MB
022. Overview of modern CNN architectures.srt	9.7 KB
/012.Applications of CNNs/
023. Learning new tasks with pre-trained CNNs.mp4	20.2 MB
023. Learning new tasks with pre-trained CNNs.srt	7.0 KB
024. A glimpse of other Computer Vision tasks.mp4	32.2 MB
024. A glimpse of other Computer Vision tasks.srt	11.0 KB
/013.Intro to Unsupervised Learning/
025. Unsupervised learning what it is and why bother.mp4	24.9 MB
025. Unsupervised learning what it is and why bother.srt	9.8 KB
026. Autoencoders 101.mp4	23.2 MB
026. Autoencoders 101.srt	8.3 KB
/014.More Autoencoders/
027. Autoencoder applications.mp4	42.8 MB
027. Autoencoder applications.srt	15.1 KB
028. Autoencoder applications image generation, data visualization & more.mp4	29.6 MB
028. Autoencoder applications image generation, data visualization & more.srt	10.9 KB
/015.Word Embeddings/
029. Natural language processing primer.mp4	38.5 MB
029. Natural language processing primer.srt	15.7 KB
030. Word embeddings.mp4	50.7 MB
030. Word embeddings.srt	20.7 KB
/016.Generative Adversarial Networks/
031. Generative models 101.mp4	28.0 MB
031. Generative models 101.srt	11.5 KB
032. Generative Adversarial Networks.mp4	37.9 MB
032. Generative Adversarial Networks.srt	15.7 KB
033. Applications of adversarial approach.mp4	43.9 MB
033. Applications of adversarial approach.srt	16.3 KB
/017.Introduction to RNN/
034. Motivation for recurrent layers.mp4	31.6 MB
034. Motivation for recurrent layers.srt	10.8 KB
035. Simple RNN and Backpropagation.mp4	36.8 MB
035. Simple RNN and Backpropagation.srt	12.8 KB
/018.Modern RNNs/
036. The training of RNNs is not that easy.mp4	27.7 MB
036. The training of RNNs is not that easy.srt	10.6 KB
037. Dealing with vanishing and exploding gradients.mp4	36.6 MB
037. Dealing with vanishing and exploding gradients.srt	14.0 KB
038. Modern RNNs LSTM and GRU.mp4	50.0 MB
038. Modern RNNs LSTM and GRU.srt	17.6 KB
/019.Applications of RNNs/
039. Practical use cases for RNNs.mp4	58.8 MB
039. Practical use cases for RNNs.srt	19.9 KB
/
[CourseClub.NET].url	0.1 KB
[FCS Forum].url	0.1 KB
[FreeCourseSite.com].url	0.1 KB
Total files 81