826 Teaching courses in Weston-super-Mare delivered Live Online

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⭐ 10-week online course of baby signing for babies 6m+ and their parents/carers. Baby signing can benefit ANY family with a baby or toddler. Encourage and support your baby's early communication.

This course is designed to help adult learners develop the necessary language skills for academic success in an English-speaking environment. Through a combination of reading, writing, listening, and speaking exercises, participants will enhance their abilities to comprehend and produce academic texts, engage in critical thinking, and effectively communicate their ideas in written and spoken English.  Course Duration: 12 weeks (24 sessions) Course Objectives: By the end of this course, participants will: 1. Improve their academic vocabulary and understanding of complex grammatical structures. 2. Enhance their reading comprehension skills for academic texts. 3. Develop effective note-taking strategies for lectures and presentations. 4. Enhance their academic writing skills, including essay structure and research techniques. 5. Improve their ability to deliver academic presentations and participate in discussions. 6. Gain familiarity with academic conventions and citation styles. Course Outline: Week 1: Introduction to Academic English - Assessing participants' language proficiency and academic goals - Overview of the course syllabus and expectations - Introduction to academic vocabulary and common idiomatic expressions Week 2: Reading Comprehension - Scanning and skimming techniques for efficient reading - Strategies for understanding main ideas and supporting details - Vocabulary building through reading academic texts Week 3: Note-taking Skills - Effective note-taking during lectures and presentations - Organizing and summarising information - Practice exercises and listening activities Week 4: Academic Writing: Paragraph Structure - Understanding the components of a well-structured paragraph - Developing topic sentences and supporting ideas - Practice exercises on paragraph development Week 5: Academic Writing: Essay Structure - Introduction to essay structure: introduction, body, and conclusion - Crafting clear and concise thesis statements - Developing coherent and well-supported arguments Week 6: Research Skills and Citations - Introduction to academic research techniques - Evaluating sources for credibility and relevance - Understanding and applying citation styles (e.g., APA, MLA) Week 7: Grammar for Academic Writing - Review of essential grammar structures for academic writing - Practice exercises on sentence structure and complex grammar - Common grammatical errors to avoid in academic writing Week 8: Academic Writing: Research Papers - Understanding the research paper format and structure - Conducting literature reviews and integrating sources - Drafting and revising research papers Week 9: Academic Speaking: Presentations - Preparing and delivering effective academic presentations - Using visual aids and engaging the audience - Practicing presentation skills through individual and group activities Week 10: Academic Speaking: Discussions and Debates - Participating in academic discussions and debates - Expressing opinions and supporting arguments effectively - Listening and responding critically to others' viewpoints Week 11: Academic Writing: Critical Analysis - Analyzing and critiquing academic texts - Developing critical thinking and evaluation skills - Writing critical analysis essays Week 12: Review and Final Projects - Reviewing course content and addressing individual needs - Finalizing and presenting individual projects - Course evaluation and feedback session Note: This syllabus is a guideline and can be customised based on the specific needs and preferences of the participants. You can opt in and out of different modules. 

Teaching4you is a tuition company that works to encourage and build confidence in students nationwide.

mindfulness meditation for children and teens - learn how to teach - mindfulness teachers

Gadd Music Vocal Studio Your Rock \ Pop singing teacher

Harry Potter book course one to one

Harry Potter book course one to one

Harry Potter book course one to one

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brandnew version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative dversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions