Search result for Neural network and deep learning pdf Online Courses & Certifications
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Neural Networks and Deep Learning
by Andrew NgTop Instructor , Kian KatanforooshTop Instructor , Younes Bensouda MourriTop Instructor- 4.9
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Approx. 23 hours to complete
In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology....
Convolutional Neural Networks
by Andrew NgTop Instructor , Kian KatanforooshTop Instructor , Younes Bensouda MourriTop Instructor- 4.9
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Approx. 35 hours to complete
In the fourth course of the Deep Learning Specialization, you will understand how computer vision has evolved and become familiar with its exciting applications such as autonomous driving, face recognition, reading radiology images, and more. One Layer of a Convolutional Network Simple Convolutional Network Example Connect with your Mentors and Fellow Learners on Discourse!...
Building Deep Learning Models with TensorFlow
by Samaya Madhavan , JEREMY NILMEIER , Romeo Kienzler , Alex Aklson- 4.4
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Approx. 13 hours to complete
Shallow neural networks cannot easily capture relevant structure in, for instance, images, sound, and textual data. In this course you’ll use TensorFlow library to apply deep learning to different data types in order to solve real world problems. Introduction to Deep Learning Deep Neural Networks Deep Neural Networks and TensorFlow Unsupervised Deep Learning Models (Cont'd) and scaling...
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. Practical Aspects of Deep Learning Weight Initialization for Deep Networks Practical aspects of Deep Learning Fitting Batch Norm into a Neural Network Deep Learning Frameworks...
Intro to Deep Learning with PyTorch
by Luis Serrano , Alexis Cook , Soumith Chintala , Cezanne Camacho , Mat Leonard- 0.0
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Approx. 2 months
Deep learning is driving the AI revolution and PyTorch is making it easier than ever for anyone to build deep learning applications. In this course, you’ll gain practical experience building and training deep neural networks using PyTorch. Learn the basics of deep learning and implement your own deep neural networks with PyTorch...
Free
Introduction to Deep Learning & Neural Networks with Keras
by Alex Aklson- 4.7
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Approx. 8 hours to complete
• describe what a neural network is, what a deep learning model is, and the difference between them. • demonstrate an understanding of supervised deep learning models such as convolutional neural networks and recurrent networks. Introduction to Neural Networks and Deep Learning Introduction to Neural Networks and Deep Learning Keras and Deep Learning Libraries...
Introduction to Machine Learning
by Lawrence Carin , David Carlson , Timothy Dunn , Kevin Liang- 4.7
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Approx. 26 hours to complete
This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc. Deep Learning and Transfer Learning Limitations of Q Learning, and Introduction to Deep Q Learning Deep Q Learning Based on Images Connecting Deep Q Learning with Conventional Q Learning...
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Sequence Models
by Andrew NgTop Instructor , Kian KatanforooshTop Instructor , Younes Bensouda MourriTop Instructor- 4.8
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Approx. 36 hours to complete
In the fifth course of the Deep Learning Specialization, you will become familiar with sequence models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language processing (NLP), and more. Recurrent Neural Network Model Language Model and Sequence Generation Deep RNNs Connect with your Mentors and Fellow Learners on Discourse!...
Deep Learning and Reinforcement Learning
by Mark J Grover , Miguel Maldonado- 4.7
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Approx. 14 hours to complete
This course introduces you to two of the most sought-after disciplines in Machine Learning: Deep Learning and Reinforcement Learning. Deep Learning is a subset of Machine Learning that has applications in both Supervised and Unsupervised Learning, and is frequently used to power most of the AI applications that we use on a daily basis....
Natural Language Processing with Sequence Models
by Younes Bensouda Mourri , Łukasz Kaiser , Eddy Shyu- 4.5
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Approx. 22 hours to complete
c) Train a recurrent neural network to perform named entity recognition (NER) using LSTMs with linear layers, and If you’d like to prepare additionally, you can take Course 1: Neural Networks and Deep Learning of the Deep Learning Specialization. Train a recurrent neural network to extract important information from text, using named entity recognition (NER) and LSTMs with linear layers...
