download скачать Free download скачать : Oreilly - Evolutionary Deep Learning, Video Edition
mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:1.26 GB

Files Included :

001  Part 1  Getting started.mp4 (3.36 MB)
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002  Chapter 1  Introducing evolutionary deep learning.mp4 (30.46 MB)
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003  Chapter 1  The why and where of evolutionary deep learning.mp4 (3.59 MB)
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004  Chapter 1  The need for deep learning optimization.mp4 (13.29 MB)
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005  Chapter 1   Automating optimization with automated machine learning.mp4 (19.94 MB)
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006  Chapter 1  Applications of evolutionary deep learning.mp4 (15.97 MB)
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007  Chapter 1  Summary.mp4 (3.18 MB)
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008  Chapter 2  Introducing evolutionary computation.mp4 (13.54 MB)
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009  Chapter 2  Simulating life with Python.mp4 (10.18 MB)
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010  Chapter 2  Life simulation as optimization.mp4 (11.9 MB)
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011  Chapter 2  Adding evolution to the life simulation.mp4 (26.01 MB)
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012  Chapter 2  Genetic algorithms in Python.mp4 (48.43 MB)
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013  Chapter 2  Summary.mp4 (7.37 MB)
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014  Chapter 3  Introducing genetic algorithms with DEAP.mp4 (20.05 MB)
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015  Chapter 3  Solving the Queen's Gambit.mp4 (15.06 MB)
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016  Chapter 3  Helping a traveling salesman.mp4 (23.51 MB)
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017  Chapter 3  Selecting genetic operators for improved evolution.mp4 (27.5 MB)
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018  Chapter 3  Painting with the EvoLisa.mp4 (19.52 MB)
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019  Chapter 3  Summary.mp4 (5.51 MB)
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020  Chapter 4  More evolutionary computation with DEAP.mp4 (35.61 MB)
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021  Chapter 4  Particle swarm optimization with DEAP.mp4 (18.01 MB)
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022  Chapter 4  Coevolving solutions with DEAP.mp4 (22.51 MB)
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023  Chapter 4  Evolutionary strategies with DEAP.mp4 (30.29 MB)
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024  Chapter 4  Differential evolution with DEAP.mp4 (19.43 MB)
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025  Chapter 4  Summary.mp4 (3.86 MB)
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026  Part 2  Optimizing deep learning.mp4 (2.41 MB)
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027  Chapter 5  Automating hyperparameter optimization.mp4 (36.65 MB)
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028  Chapter 5  Automating HPO with random search.mp4 (22.23 MB)
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029  Chapter 5  Grid search and HPO.mp4 (21.9 MB)
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030  Chapter 5  Evolutionary computation for HPO.mp4 (21.41 MB)
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031  Chapter 5  Genetic algorithms and evolutionary strategies for HPO.mp4 (20.35 MB)
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032  Chapter 5  Differential evolution for HPO.mp4 (13.98 MB)
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033  Chapter 5  Summary.mp4 (4.15 MB)
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034  Chapter 6  Neuroevolution optimization.mp4 (16.65 MB)
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035  Chapter 6  Genetic algorithms as deep learning optimizers.mp4 (13.69 MB)
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036  Chapter 6  Other evolutionary methods for neurooptimization.mp4 (7.41 MB)
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037  Chapter 6  Applying neuroevolution optimization to Keras.mp4 (13.32 MB)
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038  Chapter 6  Understanding the limits of evolutionary optimization.mp4 (9.54 MB)
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039  Chapter 6  Summary.mp4 (4.1 MB)
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040  Chapter 7  Evolutionary convolutional neural networks.mp4 (28.7 MB)
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041  Chapter 7  Encoding a network architecture in genes.mp4 (14.21 MB)
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042  Chapter 7  Creating the mating crossover operation.mp4 (10.21 MB)
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043  Chapter 7  Developing a custom mutation operator.mp4 (12.98 MB)
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044  Chapter 7  Evolving convolutional network architecture.mp4 (17.46 MB)
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045  Chapter 7  Summary.mp4 (3.72 MB)
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046  Part 3  Advanced applications.mp4 (4.94 MB)
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047  Chapter 8  Evolving autoencoders.mp4 (30.48 MB)
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048  Chapter 8  Evolutionary AE optimization.mp4 (17.6 MB)
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049  Chapter 8  Mating and mutating the autoencoder gene sequence.mp4 (9.8 MB)
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050  Chapter 8  Evolving an autoencoder.mp4 (9.69 MB)
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051  Chapter 8  Building variational autoencoders.mp4 (29.81 MB)
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052  Chapter 8  Summary.mp4 (5.07 MB)
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053  Chapter 9  Generative deep learning and evolution.mp4 (29.26 MB)
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054  Chapter 9  The challenges of training a GAN.mp4 (29.43 MB)
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055  Chapter 9  Fixing GAN problems with Wasserstein loss.mp4 (13.76 MB)
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056  Chapter 9  Encoding the Wasserstein DCGAN for evolution.mp4 (14.65 MB)
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057  Chapter 9  Optimizing the DCGAN with genetic algorithms.mp4 (11.2 MB)
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058  Chapter 9  Summary.mp4 (3.71 MB)
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059  Chapter 10  NEAT NeuroEvolution of Augmenting Topologies.mp4 (24.4 MB)
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060  Chapter 10  Visualizing an evolved NEAT network.mp4 (10.66 MB)
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061  Chapter 10  Exercising the capabilities of NEAT.mp4 (15.29 MB)
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062  Chapter 10  Exercising NEAT to classify images.mp4 (17.45 MB)
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063  Chapter 10  Uncovering the role of speciation in evolving topologies.mp4 (24.09 MB)
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064  Chapter 10  Summary.mp4 (3.26 MB)
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065  Chapter 11  Evolutionary learning with NEAT.mp4 (32.39 MB)
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066  Chapter 11  Exploring complex problems from the OpenAI Gym.mp4 (15.29 MB)
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067  Chapter 11  Solving reinforcement learning problems with NEAT.mp4 (14.71 MB)
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068  Chapter 11  Solving Gym's lunar lander problem with NEAT agents.mp4 (16.52 MB)
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069  Chapter 11  Solving Gym's lunar lander problem with a deep Q-network.mp4 (16.31 MB)
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070  Chapter 11  Summary.mp4 (3.63 MB)
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071  Chapter 12  Evolutionary machine learning and beyond.mp4 (25.07 MB)
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072  Chapter 12  Revisiting reinforcement learning with Geppy.mp4 (15.55 MB)
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073  Chapter 12  Introducing instinctual learning.mp4 (34.59 MB)
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074  Chapter 12  Generalized learning with genetic programming.mp4 (24.64 MB)
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075  Chapter 12  The future of evolutionary machine learning.mp4 (22.43 MB)
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076  Chapter 12  Generalization with instinctual deep and deep reinforcement learning.mp4 (19.81 MB)
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077  Chapter 12  Summary.mp4 (4.02 MB)
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