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Exercise Files/code_33942.zip 5.1 GB
1.Deep Learning Frameworks/02.Understanding TensorFlow, Keras and PyTorch Framework.mp4 24.2 MB
1.Deep Learning Frameworks/03.Deep Learning Using CNTK and Gluon Framework.mp4 9.9 MB
2. Feed-Forward Neural Networks/04.Implementing Single and Multi-Layer Neural Network.mp4 28.3 MB
2. Feed-Forward Neural Networks/05.Experiment with Activation Functions, Hidden Layers, and Hidden Units.mp4 26.3 MB
2. Feed-Forward Neural Networks/06.Autoencoder, Loss Function, and Optimizers.mp4 27.5 MB
2. Feed-Forward Neural Networks/07.Overfitting Prevention Methods.mp4 16.5 MB
3.Convolutional and Recurrent Neural Networks/08.Optimization Techniques for CNNs.mp4 20.1 MB
3.Convolutional and Recurrent Neural Networks/09.Experimenting with Different Types of Initialization.mp4 29.8 MB
3.Convolutional and Recurrent Neural Networks/10.Implementing Simple RNN and LSTM.mp4 17.8 MB
3.Convolutional and Recurrent Neural Networks/11.Implementing GRUs and Bidirectional RNNs.mp4 17.0 MB
4.GANs and Computer Vision/12.Implementing Generative Adversarial Networks.mp4 15.5 MB
4.GANs and Computer Vision/13.Computer Vision Techniques.mp4 22.6 MB
4.GANs and Computer Vision/14.Detecting Facial Key Points and Transferring Styles.mp4 12.5 MB
5.Neural Network Learning and Data Processing/15.Hyper Parameter Selection and Tuning.mp4 19.3 MB
5.Neural Network Learning and Data Processing/16.Speech Recognition.mp4 24.1 MB
5.Neural Network Learning and Data Processing/17.Time Series and Structured Data.mp4 30.3 MB
6.Network Internals and Pretrained Models/18.Visualizing and Analysing Network.mp4 16.4 MB
6.Network Internals and Pretrained Models/19.Freezing and Storing the Network.mp4 11.4 MB
6.Network Internals and Pretrained Models/20.Using InceptionV3 and ResNet50 Model.mp4 11.7 MB
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- 收录时间:2018-07-22 文档个数:4 文档大小:18.0 GB 最近下载:2025-05-15 人气:5521 磁力链接
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- 【压缩文件】 Build a User Authentication Web App With Python and Django
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Curso Maestro de Django 2 Desarrollo Web Backend con Python.part10.rar 58.1 MB
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Read Me.txt 80 Bytes
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01 Course Introduction/001 Introduction to the Course.mp4 45.1 MB
01 Course Introduction/002 Course Help and Welcome.mp4 23.2 MB
01 Course Introduction/003 Course FAQs.html 5.7 kB
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02 Environment Set-Up/004 Environment Set-up and Installation.mp4 29.5 MB
03 Jupyter Overview/005 Jupyter Notebooks.mp4 39.6 MB
03 Jupyter Overview/006 Optional Virtual Environments.mp4 22.8 MB
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04 Python Crash Course/007 Welcome to the Python Crash Course Section.mp4 11.2 MB
04 Python Crash Course/008 Introduction to Python Crash Course.mp4 3.2 MB
04 Python Crash Course/009 Python Crash Course - Part 1.mp4 42.1 MB
04 Python Crash Course/010 Python Crash Course - Part 2.mp4 33.8 MB
04 Python Crash Course/011 Python Crash Course - Part 3.mp4 37.5 MB
04 Python Crash Course/012 Python Crash Course - Part 4.mp4 34.1 MB
04 Python Crash Course/013 Python Crash Course Exercises - Overview.mp4 12.8 MB
04 Python Crash Course/014 Python Crash Course Exercises - Solutions.mp4 36.1 MB
05 Python for Data Analysis - NumPy/015 Welcome to the NumPy Section.mp4 7.3 MB
05 Python for Data Analysis - NumPy/016 Introduction to Numpy.mp4 5.0 MB
05 Python for Data Analysis - NumPy/017 Numpy Arrays.mp4 40.0 MB
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01 Course Introduction/003 Python-Data-Science-and-Machine-Learning-Bootcamp.zip 139.4 MB
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01 Course Introduction/001 Introduction to the Course.mp4 45.1 MB
01 Course Introduction/002 Course Help and Welcome-en.srt 1.2 kB
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01 Course Introduction/002 Course Help and Welcome-ja.srt 184 Bytes
01 Course Introduction/002 Course Help and Welcome-pt.srt 1.1 kB
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