The Embedded Self Second Edition
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The Embedded Self, Second Edition
First published in 1996, The Embedded Self was lauded as "a brilliant and long overdue rapprochement between psychoanalysis and family therapy conceived by a practitioner trained and experienced in both modalities of treatment." Mary-Joan Gerson’s integrated presentation of psychodynamic and family systems theory invited therapists of either orientation to learn the tools and techniques of the other, to mutual benefit. Firmly grounded in detailed case presentations, her focus on family therapy examined its history, organizing concepts, and developmental approaches, and addressed practical questions of diagnosis, clinical interaction, and referrals. A dozen years later, the psychoanalytic community is more open to integrating perspectives, and the growth of analysts working with couples and families necessitates an update of the material presented in The Embedded Self. Similarly, the family therapy community has deepened its interest in individual dynamics within systemic patterning. From a new and revised perspective on the possibilities of integration, Gerson covers the latest research in neuroscience and the transmission of affect within intimate relationships, with a new chapter on attachment theory and emotionally focused therapy. Sections on narrative therapy and psychoanalytically-oriented family therapy are expanded as well. The Embedded Self was a sterling introduction to family systems theory and therapy, and enhanced the work of analysts and family and couples therapists alike. The second edition proves no different in its context but wider in its scope, further enhancing the work of the family therapist interested in individual dynamics, and preparing the psychodynamically-oriented therapist who seeks to extend her craft from the dyad to the triad, and beyond.
Deep Learning with Python, Second Edition
Author: Francois Chollet
language: en
Publisher: Simon and Schuster
Release Date: 2021-12-21
Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. You'll learn directly from the creator of Keras, François Chollet, building your understanding through intuitive explanations and practical examples. Updated from the original bestseller with over 50% new content, this second edition includes new chapters, cutting-edge innovations, and coverage of the very latest deep learning tools. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.
Handbook of Self and Identity, Second Edition
Widely regarded as the authoritative reference in the field, this volume comprehensively reviews theory and research on the self. Leading investigators address this essential construct at multiple levels of analysis, from neural pathways to complex social and cultural dynamics. Coverage includes how individuals gain self-awareness, agency, and a sense of identity; self-related motivation and emotion; the role of the self in interpersonal behavior; and self-development across evolutionary time and the lifespan. Connections between self-processes and psychological problems are also addressed. New to This Edition *Incorporates significant theoretical and empirical advances. *Nine entirely new chapters. *Coverage of the social and cognitive neuroscience of self-processes; self-regulation and health; self and emotion; and hypoegoic states, such as mindfulness.