Python Deep Learning Solutions Video | FC818FA97427B0541C38B5DB38799D461C47B0F0

Python Deep Learning Solutions Video

Name	Python Deep Learning Solutions [Video]	DOWNLOAD Copy Link
Total Size	5.5 GB
Total Files	22
Hash	FC818FA97427B0541C38B5DB38799D461C47B0F0

/Exercise Files/
code_33942.zip	5.1 GB
/1.Deep Learning Frameworks/
02.Understanding TensorFlow, Keras and PyTorch Framework.mp4	24.2 MB
03.Deep Learning Using CNTK and Gluon Framework.mp4	9.9 MB
01.The course overview.mp4	10.1 MB
/2. Feed-Forward Neural Networks/
04.Implementing Single and Multi-Layer Neural Network.mp4	28.3 MB
05.Experiment with Activation Functions, Hidden Layers, and Hidden Units.mp4	26.3 MB
06.Autoencoder, Loss Function, and Optimizers.mp4	27.5 MB
07.Overfitting Prevention Methods.mp4	16.5 MB
/3.Convolutional and Recurrent Neural Networks/
08.Optimization Techniques for CNNs.mp4	20.1 MB
09.Experimenting with Different Types of Initialization.mp4	29.8 MB
10.Implementing Simple RNN and LSTM.mp4	17.8 MB
11.Implementing GRUs and Bidirectional RNNs.mp4	17.0 MB
/4.GANs and Computer Vision/
12.Implementing Generative Adversarial Networks.mp4	15.5 MB
13.Computer Vision Techniques.mp4	22.6 MB
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
16.Speech Recognition.mp4	24.1 MB
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
19.Freezing and Storing the Network.mp4	11.4 MB
20.Using InceptionV3 and ResNet50 Model.mp4	11.7 MB
21.Leveraging VGG Model and Fine Tuning.mp4	20.2 MB
Total files 22