Search result for Neural network models Online Courses & Certifications
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Introduction to Deep Learning & Neural Networks with Keras
by Alex Aklson- 4.7
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Approx. 8 hours to complete
This course will introduce you to the field of deep learning and help you answer many questions that people are asking nowadays, like what is deep learning, and how do deep learning models compare to artificial neural networks? • describe what a neural network is, what a deep learning model is, and the difference between them....
Sequence Models
by Andrew NgTop Instructor , Kian KatanforooshTop Instructor , Younes Bensouda MourriTop Instructor- 4.8
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Approx. 36 hours to complete
By the end, you will be able to build and train Recurrent Neural Networks (RNNs) and commonly-used variants such as GRUs and LSTMs; apply RNNs to Character-level Language Modeling; gain experience with natural language processing and Word Embeddings; and use HuggingFace tokenizers and transformer models to solve different NLP tasks such as NER and Question Answering....
PyTorch: Deep Learning with PyTorch - Masterclass!: 2-in-1
by Packt Publishing- 3.9
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7.5 hours on-demand video
You will also be training a neural network to learn how to balance a pole all by itself, using Reinforcement Learning. The next project shows you how to predict character sequence using Recurrent Neural Networks (RNN) and Long Short Term Memory Network (LSTM). Build your neural network using Deep Learning techniques in PyTorch....
$11.99
TensorFlow and the Google Cloud ML Engine for Deep Learning
by Loony Corn- 4.3
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17.5 hours on-demand video
CNNs, RNNs and other neural networks for unsupervised and supervised deep learning TensorFlow is quickly becoming the technology of choice for deep learning, because of how easy TF makes it to build powerful and sophisticated neural networks. This is a comprehensive, from-the-basics course on TensorFlow and building neural networks....
$12.99
R: Neural Nets and CNN Architecture in R - Masterclass!
by Packt Publishing- 3.6
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6 hours on-demand video
One stop guide to implement cutting-edge CNN architectures and build Neural Network models to solve complex problems! You’ll start off by learning how to build and train neural network models to solve complex problems. The first course, Getting Started with Neural Nets in R, covers building and training neural network models to solve complex problems....
$11.99
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
a) Train a neural network with GLoVe word embeddings to perform sentiment analysis of tweets, c) Train a recurrent neural network to perform named entity recognition (NER) using LSTMs with linear layers, and Neural Networks for Sentiment Analysis Create word embeddings, then train a neural network on them to perform sentiment analysis of tweets...
Introduction to Deep Learning
by Evgeny Sokolov , Зимовнов Андрей Вадимович , Alexander Panin , Ekaterina Lobacheva , Nikita Kazeev- 4.5
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Approx. 34 hours to complete
The course starts with a recap of linear models and discussion of stochastic optimization methods that are crucial for training deep neural networks. In the course project learner will implement deep neural network for the task of image captioning which solves the problem of giving a text description for an input image....
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The Complete Neural Networks Bootcamp: Theory, Applications
by Fawaz Sammani- 4.6
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37.5 hours on-demand video
In this section, you will apply what you've learned to build a Feed Forward Neural Network to classify handwritten digits. In this section, we will build a feed forward Neural Network to classify weather a person has diabetes or not. Section 10 - Implementing a Neural Network from Scratch with Python and Numpy...
$14.99
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
Custom Models, Layers, and Loss Functions with TensorFlow
by Laurence Moroney , Eddy Shyu- 4.9
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Approx. 31 hours to complete
• Build custom loss functions (including the contrastive loss function used in a Siamese network) in order to measure how well a model is doing and help your neural network learn from training data. Branching models Coding a Multi-Input Siamese network Siamese network code walkthrough Training a neural network with your Custom Layer...
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