Search result for Neural processes Online Courses & Certifications
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[2020] Machine Learning and Deep Learning Bootcamp in Python
by Holczer Balazs- 4.5
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18.5 hours on-demand video
Machine Learning models, Neural Networks, Deep Learning and Reinforcement Learning Approaches in Keras and TensorFlow This course is about the fundamental concepts of machine learning, focusing on regression, SVM, decision trees and neural networks. Neural Networks: what are feed-forward neural networks and why are they useful deep neural networks convolutional neural networks (CNNs)...
$17.99
Neural Networks in Python from Scratch: Complete guide
by Jones Granatyr- 4.5
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8.5 hours on-demand video
Learn the fundamentals of Deep Learning of neural networks in Python both in theory and practice! Artificial neural networks are considered to be the most efficient Machine Learning techniques nowadays, with companies the likes of Google, IBM and Microsoft applying them in a myriad of ways....
$11.99
Machine Learning
by Michael Littman , Charles Isbell , Pushkar Kolhe- 0.0
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Approx. 4 months
lesson 1 Supervised Learning Machine Learning is the ROX Decision Trees Regression and Classification Neural Networks Instance-Based Learning Ensemble B&B Kernel Methods and Support Vector Machines (SVM)s Computational Learning Theory VC Dimensions Bayesian Learning Bayesian Inference lesson 2 Unsupervised Learning Randomized optimization Clustering Feature Selection Feature Transformation Information Theory lesson 3 Reinforcement Learning Markov Decision Processes Reinforcement Learning Game Theory...
Free
Neuronal Dynamics
by Wulfram Gerstner- 0.0
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7 Weeks
Week 5: Variability of spike trains and the neural code How mathematical tools such as differential equations, phase plane analysis, separation of time scales, and stochastic processes can be used to understand the dynamics of neurons and the neural code...
$139
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
by Andrew NgTop Instructor , Kian KatanforooshTop Instructor , Younes Bensouda MourriTop Instructor- 4.9
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Approx. 22 hours to complete
In the second course of the Deep Learning Specialization, you will open the deep learning black box to understand the processes that drive performance and generate good results systematically. Fitting Batch Norm into a Neural Network...
Deep Learning for Beginners in Python: Work On 12+ Projects
by Vijay Gadhave- 4.2
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14.5 hours on-demand video
0, Neural Networks, NLP, Data Science, Machine Learning, More ! Part 1: Artificial Neural Networks (ANNs) Part 2: Convolutional Neural Networks (CNNs) Part 3: Recurrent Neural Networks (RNNs) 1) To built the Neural Networks from the scratch 2) You will have a complete understanding of Artificial Neural Networks, Convolutional Neural Networks and Recurrent Neural Networks...
$13.99
TensorFlow 2.0 Masterclass: Hands-On Deep Learning and AI
by Vijay Gadhave- 4.4
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14.5 hours on-demand video
0, it has so many features that simplify the Model Development, Maintenance, Processes and Performance. Part 2: Artificial Neural Networks (Section 2 - Section 4) Part 3: Convolutional Neural Networks (Section 5 - Section 11) Part 4: Recurrent Neural Networks (Section 12 - Section 15)...
$14.99
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A Complete Guide on TensorFlow 2.0 using Keras API
by Hadelin de Ponteves- 4.5
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13 hours on-demand video
The course is structured in a way to cover all topics from neural network modeling and training to put it in production. Through this part of the course, you will implement several types of neural networks (Fully Connected Neural Network (Section 3), Convolutional Neural Network (Section 4), Recurrent Neural Network (Section 5))....
$17.99
Artificial Intelligence IV - Reinforcement Learning in Java
by Holczer Balazs- 4.1
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3 hours on-demand video
Markov Decision Processes value-iteration and policy-iterationQ-learning fundamentalspathfinding algorithms with Q-learningQ-learning with neural networks...
$11.99
Computational Neuroscience
by Rajesh P. N. Rao , Adrienne Fairhall- 4.6
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Approx. 26 hours to complete
Specific topics that will be covered include representation of information by spiking neurons, processing of information in neural networks, and algorithms for adaptation and learning. Neural Encoding Models (Adrienne Fairhall) 1 What is the Neural Code? 2 Neural Encoding: Simple Models 3 Neural Encoding: Feature Selection 4 Neural Encoding: Variability Spike Triggered Averages: A Glimpse Into Neural Encoding...
