Edureka - Practical Deep Learning With Python

[0dayddl]

2.66 GB | 7min 14s | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English


Files Included :

FileName :02-course introduction.mp4 | Size: (27.98 MB)
FileName :03-environment configuration.mp4 | Size: (21.81 MB)
FileName :01-machine learning vs deep learning.mp4 | Size: (34.27 MB)
FileName :02-what is deep learning.mp4 | Size: (20.31 MB)
FileName :03-neural networks.mp4 | Size: (42.16 MB)
FileName :04-artificial neural network ann.mp4 | Size: (24.4 MB)
FileName :05-ann types and applications.mp4 | Size: (17.78 MB)
FileName :06-forward propagation.mp4 | Size: (20.61 MB)
FileName :07-perceptron.mp4 | Size: (30.93 MB)
FileName :08-learning rate.mp4 | Size: (29.25 MB)
FileName :09-what is activation function.mp4 | Size: (17.83 MB)
FileName :10-activation function and its types.mp4 | Size: (23.41 MB)
FileName :11-importance of epoch.mp4 | Size: (24.78 MB)
FileName :12-single layer perceptron define sigmoid function.mp4 | Size: (44.01 MB)
FileName :13-single layer perceptron decision boundary.mp4 | Size: (77.15 MB)
FileName :01-limitations of single layered perceptron.mp4 | Size: (11.05 MB)
FileName :02-multi layered perceptron.mp4 | Size: (12.04 MB)
FileName :03-what is backpropagation.mp4 | Size: (10.26 MB)
FileName :04-backpropagation.mp4 | Size: (17 MB)
FileName :05-demonstration building a simple neural network.mp4 | Size: (40.88 MB)
FileName :06-demonstration understanding how backpropagation has worked.mp4 | Size: (40.45 MB)
FileName :07-demonstration handwritten digits classification data preprocessing.mp4 | Size: (41.79 MB)
FileName :08-demonstration handwritten digits classification designing the model.mp4 | Size: (73.21 MB)
FileName :09-demonstration handwritten digits classification optimizing the model.mp4 | Size: (88.77 MB)
FileName :01-summary of deep learning components.mp4 | Size: (36.33 MB)
FileName :01-limitations of mlp.mp4 | Size: (27.91 MB)
FileName :02-mlp limitations resolving the issue with cnn.mp4 | Size: (21.51 MB)
FileName :03-visual cortex and cnn.mp4 | Size: (31.61 MB)
FileName :04-convolutional layer.mp4 | Size: (31.99 MB)
FileName :05-working of convolutional layer.mp4 | Size: (31.99 MB)
FileName :06-demonstration load and preprocess the data.mp4 | Size: (42.04 MB)
FileName :07-demonstration designing the model.mp4 | Size: (52.84 MB)
FileName :08-demonstration building the cnn model.mp4 | Size: (37.97 MB)
FileName :09-demonstration model accuracy.mp4 | Size: (21.45 MB)
FileName :10-demonstration adding more layers.mp4 | Size: (62.39 MB)
FileName :11-demonstration building basic cnn model with new parameters.mp4 | Size: (78.21 MB)
FileName :12-demonstration pre trained model.mp4 | Size: (37.38 MB)
FileName :01-classification and object detection.mp4 | Size: (29.81 MB)
FileName :02-introduction to rcnn.mp4 | Size: (31.51 MB)
FileName :03-r cnn bounding box regression.mp4 | Size: (12.46 MB)
FileName :04-pre trained model.mp4 | Size: (29.04 MB)
FileName :05-fast regional cnn.mp4 | Size: (32.1 MB)
FileName :06-demonstration creating base variables and loading the model.mp4 | Size: (37 MB)
FileName :07-demonstration training the model and visualizing the predictions.mp4 | Size: (53.63 MB)
FileName :08-demonstration svm as a classifier.mp4 | Size: (23.4 MB)
FileName :01-fast rcnn limitations.mp4 | Size: (24.9 MB)
FileName :02-advent of faster r cnn.mp4 | Size: (25.24 MB)
FileName :03-tensorflow hub.mp4 | Size: (20.32 MB)
FileName :04-demonstration object detection with faster rcnn pretrained model setup.mp4 | Size: (74.66 MB)
FileName :05-demonstration object detection with faster rcnn building the model.mp4 | Size: (82.91 MB)
FileName :01-summary of cnn in deep learning.mp4 | Size: (13.32 MB)
FileName :02-summary of faster rcnn.mp4 | Size: (22.48 MB)
FileName :01-rnn fundamentals.mp4 | Size: (20.5 MB)
FileName :02-rnn architecture.mp4 | Size: (22.59 MB)
FileName :03-rnn architecture workflow.mp4 | Size: (28.92 MB)
FileName :04-implementing rnn.mp4 | Size: (28.87 MB)
FileName :05-demonstration rnn dataset preparation.mp4 | Size: (62.04 MB)
FileName :06-demonstration rnn building the model.mp4 | Size: (62.37 MB)
FileName :01-basics of lstm.mp4 | Size: (28.36 MB)
FileName :02-lstm structure.mp4 | Size: (24.24 MB)
FileName :03-forget gate and input gate.mp4 | Size: (20.87 MB)
FileName :04-output gate.mp4 | Size: (14.09 MB)
FileName :05-importance of lstm architecture.mp4 | Size: (23.04 MB)
FileName :06-types of lstm.mp4 | Size: (19.16 MB)
FileName :07-demonstration next word prediction processing the corpus.mp4 | Size: (50.16 MB)
FileName :08-demonstration next word prediction layers.mp4 | Size: (58.92 MB)
FileName :09-demonstration next word prediction model compilation and prediction.mp4 | Size: (96.56 MB)
FileName :01-improving a model.mp4 | Size: (32.93 MB)
FileName :02-model optimization.mp4 | Size: (21.83 MB)
FileName :03-using adam optimizer.mp4 | Size: (31.96 MB)
FileName :04-model compilation.mp4 | Size: (14.37 MB)
FileName :05-model compilation with popular frameworks.mp4 | Size: (27.34 MB)
FileName :06-demonstration model compilation preparing the dataset.mp4 | Size: (55.53 MB)
FileName :07-demonstration building and compiling model.mp4 | Size: (46.26 MB)
FileName :08-demonstration from rmsprop to adam.mp4 | Size: (45.17 MB)
FileName :01-summary of deep learning with rnn and lstm with model optimization.mp4 | Size: (32.88 MB)
FileName :01-course summary for practical deep learning with python.mp4 | Size: (23.39 MB)

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