Search result for Stanford convolutional neural network course Online Courses & Certifications
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Introduction to Deep Learning & Neural Networks with Keras
by Alex Aklson- 4.7
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. Convolutional Neural Networks...
Data Science 2021: Data Science & Machine Learning in Python
by Ankit Mistry- 4.4
18.5 hours on-demand video
9) Convolutional Neural Networks (CNNs): Theory behind Convolutional Neural Networks, Different layers in Convolutional Neural Networks, Building Convolutional Neural Networks, Credit Card Fraud Detection with CNN 10) Recurrent Neural Network (RNNs): Theory behind Recurrent Neural Networks, Vanishing Gradient Problem, Working of LSTM and GRU, IMDB Review Classification with RNN - LSTM Classify Fashion clothes image with Artificial Neural Network + Keras...
$11.99
Deep Learning in Computer Vision
by Anton Konushin , Alexey Artemov- 3.8
Approx. 13 hours to complete
The goal of this course is to introduce students to computer vision, starting from basics and then turning to more modern deep learning models. Rules on the academic integrity in the course Convolutional features for visual recognition Computing semantic image embeddings using convolutional neural networks Region-based convolutional neural network Action classification with convolutional neural networks...
Build Decision Trees, SVMs, and Artificial Neural Networks
by Stacey McBrine- 0.0
Approx. 22 hours to complete
Build Decision Trees, SVMs, and Artificial Neural Networks Course Introduction Artificial Neural Network (ANN) Build Convolutional and Recurrent Neural Networks (CNN/RNN) Build Convolutional and Recurrent Neural Networks (CNN/RNN) Module Introduction Convolutional Neural Network (CNN) Recurrent Neural Network (RNN) Train and evaluate convolutional neural networks (CNN) and recurrent neural networks (RNN) for computer vision and natural language processing tasks....
Train and deploy deep learning models for image recognition
by Nour Islam Mokhtari- 4.6
8.5 hours on-demand video
Build your neural network using Keras, train it using Google AI Platform then deploy it using Flask and Google Cloud Run We will start the course by defining an end goal that we want to achieve. We will build a Convolutional Neural Network using Tensorflow with Keras and then we will train this network on Google AI-Platform....
$12.99
Machine Learning and Deep Learning using Tensor Flow & Keras
by Indra Programmer- 2
11 hours on-demand video
This course will guide you through how to use Google's TensorFlow framework to create artificial neural networks for deep learning and also the basics of Machine learning! This course aims to give you an easy to understand guide to the complexities of Google's TensorFlow framework in a way that is easy to understand and its application ....
$12.99
Applied AI with DeepLearning
by Romeo Kienzler , Niketan Pansare , Tom Hanlon , Max Pumperla , Ilja Rasin- 4.4
Approx. 24 hours to complete
>>> By enrolling in this course you agree to the End User License Agreement as set out in the FAQ. Course Logistics Deep feed forward neural networks Convolutional Neural Networks Methods for neural network training Neural Network Debugging with TensorBoard Classifying the MNIST dataset with Convolutional Neural Networks Methods of parallel neural network training...
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Sequences, Time Series and Prediction
by Laurence Moroney- 4.7
Approx. 13 hours to complete
Deep Neural Networks for Time Series Feeding windowed dataset into neural network Single layer neural network More on single layer neural network Deep neural network training, tuning and prediction Deep neural network Single layer neural network notebook Deep neural network notebook Recurrent Neural Networks for Time Series Convolutional neural networks course...
Visual Perception for Self-Driving Cars
by Steven Waslander- 4.7
Approx. 31 hours to complete
By the end of this course, you will be able to work with the pinhole camera model, perform intrinsic and extrinsic camera calibration, detect, describe and match image features and design your own convolutional neural networks. Lesson 3: Neural Network Training with Gradient Descent Lesson 4: Data Splits and Neural Network Performance Evaluation...
TensorFlow and the Google Cloud ML Engine for Deep Learning
by Loony Corn- 4.3
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