Search result for Tensorflow probability Online Courses & Certifications
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Probabilistic Deep Learning with TensorFlow 2
by Dr Kevin Webster- 4.7
Approx. 53 hours to complete
You will learn how to develop probabilistic models with TensorFlow, making particular use of the TensorFlow Probability library, which is designed to make it easy to combine probabilistic models with deep learning. As such, this course can also be viewed as an introduction to the TensorFlow Probability library. The TensorFlow Probability library...
Introduction to Deep Learning
by Evgeny Sokolov , Зимовнов Андрей Вадимович , Alexander Panin , Ekaterina Lobacheva , Nikita Kazeev- 4.5
Approx. 34 hours to complete
Learners will use these building blocks to define complex modern architectures in TensorFlow and Keras frameworks. 2) Logistic regression: model, cross-entropy loss, class probability estimation. What is TensorFlow Our first model in TensorFlow TensorFlow reading...
Deep Learning: Convolutional Neural Networks in Python
by Lazy Programmer Inc.- 4.6
12 hours on-demand video
How to build an CNN using Tensorflow 2 How to use batch normalization and dropout regularization in Tensorflow 2 How to do image classification in Tensorflow 2 How to use Embeddings in Tensorflow 2 for NLP basic probability (conditional and joint distributions)...
$19.99
Using Machine Learning in Trading and Finance
by Jack Farmer , Ram Seshadri- 4
Approx. 19 hours to complete
Introduction to Quantitative Trading and TensorFlow Introduction to TensorFlow Introduction to TensorFlow TensorFlow API Hierarchy Components of tensorflow Tensors and Variables Lab Intro Writing low-level TensorFlow programs Lab Intro Manipulating data with TensorFlow Dataset API Training neural networks with Tensorflow 2 and Keras Use Keras and Tensorflow to build machine learning models...
Deep Learning: Recurrent Neural Networks in Python
by Lazy Programmer Inc.- 4.6
12 hours on-demand video
How to build an RNN using Tensorflow 2 How to use a GRU and LSTM in Tensorflow 2 How to do time series forecasting with Tensorflow 2 How to predict stock prices and stock returns with LSTMs in Tensorflow 2 (hint: it's not what you think!) How to use Embeddings in Tensorflow 2 for NLP...
$17.99
Natural Language Processing with Classification and Vector Spaces
by Younes Bensouda Mourri , Łukasz Kaiser , Eddy Shyu- 4.6
Approx. 31 hours to complete
Probability and Bayes’ Rule Probability and Bayes’ Rule...
Natural Language Processing with Probabilistic Models
by Younes Bensouda Mourri , Łukasz Kaiser , Eddy Shyu- 4.7
Approx. 28 hours to complete
In Course 2 of the Natural Language Processing Specialization, offered by deeplearning. ai, you will: a) Create a simple auto-correct algorithm using minimum edit distance and dynamic programming, b) Apply the Viterbi Algorithm for part-of-speech (POS) tagging, which is important for computational linguistics, c) Write a better auto-complete algorithm using an N-gram language model, and...
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Keras: Deep Learning in Python
by Francisco Juretig- 3.7
10 hours on-demand video
The student is required to be familiar with Python, and machine learning; Some general knowledge on statistics and probability is recommended, but not strictly necessary....
$13.99
Data Science & Machine Learning(Theory+Projects)A-Z 90 HOURS
by AI Sciences- 4.3
90 hours on-demand video
One way or the other, knowing Probability and Statistics makes a significant theoretical as well as practical difference. Most of the courses on Probability and Statistics, however, fail to link the data science practices and theory by merely focusing on the axiomatic treatment of the subject. TensorFlow (Google’s deep learning framework)....
$9.99
AI Workflow: Machine Learning, Visual Recognition and NLP
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
Approx. 14 hours to complete
Create a neural net model in Tensorflow Getting Started with Convolutional Neural Networks and TensorFlow (Hands-on)...