TensorFlow is a robust open-source framework for constructing and deploying machine studying fashions. Studying TensorFlow lets you create refined neural networks for duties like picture recognition, pure language processing, and predictive analytics. By mastering TensorFlow, you achieve beneficial expertise that may improve your profession prospects within the quickly rising area of AI and machine studying. This text lists the highest TensorFlow programs that may show you how to achieve the experience wanted to excel within the area of AI and machine studying.
Introduction to TensorFlow for Synthetic Intelligence, Machine Studying, and Deep Studying
This course teaches you easy methods to use TensorFlow to construct scalable AI fashions, beginning with a comfortable introduction to Machine Studying and Deep Studying ideas. All through the course, you’ll progress from primary programming expertise to fixing advanced pc imaginative and prescient issues, guided by movies, readings, quizzes, and programming assignments.
Intro to TensorFlow for Deep Studying
This course supplies a hands-on introduction to deep studying with TensorFlow and Keras, masking neural networks, CNNs, switch studying, and time sequence forecasting. It additionally delves into NLP with tokenization, embeddings, and RNNs and concludes with deploying fashions utilizing TensorFlow Lite.
TensorFlow fundamentals
This course introduces the basics of deep studying with TensorFlow, masking key ideas and sensible data for constructing machine studying fashions. Modules embody constructing neural networks with Keras, pc imaginative and prescient, pure language processing, audio classification, and customizing fashions with lower-level TensorFlow code.
Introduction to Neural Networks with TensorFlow
This course teaches the basics of neural networks utilizing Python and TensorFlow, specializing in methods like gradient descent and backpropagation. You’ll be taught to construct and practice deep studying fashions, culminating in a undertaking to create a picture classifier.
Introduction to TensorFlow Lite
This course introduces TensorFlow Lite and covers its deployment on varied platforms. The course supplies an outline of TensorFlow Lite and directions on deploying fashions on Android, iOS with Swift, and IoT units.
Convolutional Neural Networks in TensorFlow
This course advances your expertise in pc imaginative and prescient by educating you to deal with real-world photographs, visualize convolutions, and enhance mannequin efficiency with methods like augmentation, dropout, and switch studying. It covers varied elements, from utilizing bigger datasets to stopping overfitting and shifting past binary classification.
Pure Language Processing in TensorFlow
This course focuses on constructing pure language processing techniques utilizing TensorFlow. You’ll be taught to course of textual content, tokenize and vectorize sentences, apply RNNs, GRUs, and LSTMs, and even practice an LSTM to generate authentic poetry. The course consists of movies, readings, quizzes, and programming assignments to deepen your understanding of NLP methods and neural networks.
TensorFlow on Google Cloud
This course covers designing TensorFlow knowledge pipelines, constructing and bettering ML fashions with TensorFlow and Keras, and writing scalable and specialised ML fashions. You’ll study TensorFlow framework elements, knowledge processing for coaching, deep neural networks, and mannequin scaling with Vertex AI.
IBM: Deep Studying with Tensorflow
This course covers foundational TensorFlow ideas, together with major capabilities, operations, and execution pipelines. You’ll be taught to use TensorFlow for curve becoming, regression, classification, and error minimization and perceive totally different deep architectures like Convolutional Networks, Recurrent Networks, and Autoencoders. The course additionally teaches backpropagation for tuning weights and biases throughout neural community coaching.
Deep Studying Specialization
This course teaches you to construct and practice varied neural community architectures utilizing TensorFlow, together with CNNs, RNNs, LSTMs, and Transformers. You’ll grasp theoretical ideas and apply them to real-world duties like speech recognition, chatbots, and NLP. It helps achieve expertise in coaching deep neural networks, optimizing fashions, and implementing superior methods in TensorFlow for varied AI functions.
Sequences, Time Collection, and Prediction
This course teaches you to construct time sequence fashions utilizing TensorFlow. You’ll be taught to organize time sequence knowledge, use RNNs and 1D ConvNets for prediction, and apply these methods to construct a sunspot prediction mannequin with real-world knowledge.
TensorFlow 2 for Deep Studying Specialization
This specialization is for machine studying researchers and practitioners in search of sensible TensorFlow expertise. It covers constructing, coaching, and evaluating deep studying fashions, growing customized fashions with TensorFlow APIs, and creating probabilistic fashions utilizing TensorFlow Chance. Stipulations embody Python 3, machine studying and deep studying ideas, and a strong basis in chance and statistics.
TensorFlow: Superior Strategies Specialization
This specialization teaches superior TensorFlow methods to software program and machine studying engineers. You’ll be taught to construct non-sequential mannequin sorts, optimize coaching, and sort out superior pc imaginative and prescient duties. The 4 programs cowl the Purposeful API, optimization with GradientTape and Autograph, object detection, and generative deep studying, together with Fashion Switch, Auto Encoding, VAEs, and GANs.
TensorFlow: Information and Deployment Specialization
This course teaches you to deploy machine studying fashions throughout varied units and platforms utilizing TensorFlow. You’ll be taught to coach and run fashions in browsers and cell apps, use TensorFlow knowledge providers, and apply TensorFlow Serving, Hub, and TensorBoard in numerous deployment eventualities. The programs cowl browser-based fashions with TensorFlow.js, device-based fashions with TensorFlow Lite, and knowledge pipelines with TensorFlow Information Providers.
Sensible Machine Studying with Tensorflow
This course covers the fundamentals and superior matters in TensorFlow and machine studying. It consists of lectures on TensorFlow overview, machine studying processes, gradient descent, mannequin analysis, deep studying, knowledge pipelines, textual content and picture classification, CNNs, RNNs, and switch studying.
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